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Pipeline run

83cc23f6-5656-4257-b7ff-06cf1871cf9d

Pipeline LLM cost (USD)
API 1: $0.0086 API 2: $0.0002 API 3: $0.0000 Total: $0.0088

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work · Backend Engineering
Build and ship Python/FastAPI backend services and APIs, while designing LangChain-based AI agent workflows that use Gemini/LLMs, tools, and secure code-execution sandboxes. Work with a small team to iterate on requirements, integrations, testing, and maintainable deployment.
"Design, develop, and deploy robust and scalable backend services using Python and FastAPI."
Tech stack maturity
Modern Cloud Native
The role centers on FastAPI, LangChain, LLMs, Python, and REST, which strongly align with contemporary API-driven AI application development in cloud-native environments.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
3.20 / 5
Title match
Has AI skill
AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1): Gemini
Frameworks (×2): LangChain
Models / concepts (×3): LLM, LLMs, AI agent, AI, ML, AI/ML, Artificial Intelligence
Evidence — skills matched in JD (14)
Python FastAPI LangChain Gemini REST LLMs Docker E2B React GCP AWS Azure Chatbot development Conversational AI
Skill cluster (9 dimension groups, role-scoped)
API Interface and Contract Design
REST
Cloud Platforms & Managed Services
Azure
Cloud Platforms for AI Deployment
GCP
Cloud Provider Platforms
AWS
Containerization and Image Builds
Docker
Python Programming
Python
React Component Architecture
React
Web Application Frameworks
FastAPI
Cross-cutting / unaligned
LangChain Gemini LLMs E2B Chatbot development Conversational AI
Show KRA description ↓
Design, develop, and deploy robust and scalable backend services using Python and FastAPI. Architect and implement AI agent-based workflows using Langchain, defining agent roles, tools, and orchestration logic. Integrate Large Language Models (like Gemini) for code generation, data analysis, and complex reasoning. Develop and integrate tools for AI agents, potentially involving secure code execution sandboxes (like E2B or Docker). Build and maintain APIs for frontend-backend communication and potential third-party integrations. Collaborate closely with a small, agile team to define requirements, design solutions, and iterate quickly. Champion best practices in software development, including security, testing, and maintainability. Embrace a culture of continuous learning, staying updated with advancements in AI, LLMs, and backend technologies. Essential Skills & Experience: Proven experience in backend development using Python. Strong experience with web frameworks, particularly FastAPI. Solid understanding of API design principles (RESTful, etc.). A proactive, problem-solving mindset with a willingness to tackle challenging and often ambiguous problems. Demonstrated ability to learn quickly and adapt to new technologies and concepts. Preferred & Highly Valued Experience: Hands-on experience with Langchain for developing AI agent workflows or similar agent-based systems. Experience integrating and working with Large Language Models (LLMs) like Gemini, GPT, or similar. Familiarity with developing systems that involve LLM-generated code and its secure execution (e.g., using Docker, E2B, or other sandboxing technologies). Understanding of chatbot development principles and conversational AI. Experience in a startup environment or working on novel AI applications. Bonus Points: Familiarity with frontend technologies like ReactJS. Experience with cloud platforms (e.g., GCP, AWS, Azure) and deploying AI/ML models.

Signals

Skill fullstack-developer
0.50
Alias backend-engineer
1.00
KRA ai-engineer
0.58

Post-classification

Centroidupdated · n=12
Alias collision log
New-role queue
New skills captured4
New KRA capturedyes

Captured for admin review

Gemini primary LLM / GenAI Engineer pending
E2B LLM / GenAI Engineer pending
Chatbot development LLM / GenAI Engineer pending
Conversational AI LLM / GenAI Engineer pending
R&R fragment (sim 0.00) LLM / GenAI Engineer pending

Design, develop, and deploy robust and scalable backend services using Python and FastAPI. Architect and implement AI agent-based workflows using Langchain, defining agent roles, tools, and orchestrat…

Status: completed Created: 2026-05-27T16:45:54.448007Z Updated: 2026-05-27T16:48:42.793220Z API 3 duration: 87859 ms
Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

LLM / GenAI Engineer

domain · AI / ML CASE DOMAIN

slug: llm-genai-engineer · id: 151 · source: db

Domain=AI / ML; The JD centers on building AI agent workflows, integrating LLMs, and developing agent tools/orchestration, which best matches LLM/GenAI engineering.

Matched skills

PythonFastAPILangchainGeminiLLMsDockerE2BRESTfulReactJSGCPAWSAzure

Matched dimensions

Backend Service DevelopmentAI Agent OrchestrationLLM IntegrationSecure Code Execution SandboxingAPI Design and IntegrationSoftware Quality and MaintainabilityCross-functional CollaborationCloud Deployment

Matched KRAs

Design, develop, and deploy robust and scalable backend servicesArchitect and implement AI agent-based workflowsIntegrate Large Language Models (like Gemini)Develop and integrate tools for AI agentsBuild and maintain APIs for frontend-backend communicationChampion best practices in software developmentCollaborate closely with a small, agile team

Resolution: in_db — role exists in library; skill↔dim and role↔dim links saved when applicable.

0
New skills
0
Skill↔dim saved
0
Role↔dim saved
0
Skipped

Job description

Experience: 3.00 + years

Salary: USD 1851 / month (based on experience)

Expected Notice Period: 15 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Remote

Placement Type: Full Time Contract for 3 Months(40 hrs a week/160 hrs a month)

(*Note: This is a requirement for one of Uplers' client - BatlabsAI)

What do you need for this opportunity?

Must have skills required:

Fast API, LLM, Python, React Js, REST API

BatlabsAI is Looking for:

Job Title: Senior Backend Engineer (AI Agent Orchestration) - Contract

Location: Remote

About Batlabs AI:

At Batlabs AI, we're at the forefront of applying cutting-edge artificial intelligence to solve complex, real-world challenges in the [mention a slightly broader field like "scientific R&D" or "industrial process optimization" if "materials manufacturing" is too specific for IP reasons] space. We're an early-stage startup fueled by innovation, a passion for tackling difficult problems, and a commitment to making a significant impact. If you're excited by the prospect of building intelligent systems from the ground up and shaping the future of AI applications, Batlabs AI is the place for you.

The Opportunity:

We are seeking a highly skilled and motivated Backend Engineer to join us on a contract basis. You will play a pivotal role in architecting and developing the core backend infrastructure for our AI-powered platform. This isn't just another backend role; you'll be instrumental in building an "army of AI agents" – sophisticated, specialized AI systems that will form the backbone of our product. You'll work with state-of-the-art technologies like Large Language Models (e.g., Gemini), Langchain, and secure code execution environments to bring our vision to life.

What You'll Do:

Design, develop, and deploy robust and scalable backend services using Python and FastAPI.

Architect and implement AI agent-based workflows using Langchain, defining agent roles, tools, and orchestration logic.

Integrate Large Language Models (like Gemini) for code generation, data analysis, and complex reasoning.

Develop and integrate tools for AI agents, potentially involving secure code execution sandboxes (like E2B or Docker).

Build and maintain APIs for frontend-backend communication and potential third-party integrations.

Collaborate closely with a small, agile team to define requirements, design solutions, and iterate quickly.

Champion best practices in software development, including security, testing, and maintainability.

Embrace a culture of continuous learning, staying updated with advancements in AI, LLMs, and backend technologies.

What We're Looking For:

Essential Skills & Experience:

Proven experience in backend development using Python.

Strong experience with web frameworks, particularly FastAPI.

Solid understanding of API design principles (RESTful, etc.).

A proactive, problem-solving mindset with a willingness to tackle challenging and often ambiguous problems.

Demonstrated ability to learn quickly and adapt to new technologies and concepts.

Preferred & Highly Valued Experience:

Hands-on experience with Langchain for developing AI agent workflows or similar agent-based systems.

Experience integrating and working with Large Language Models (LLMs) like Gemini, GPT, or similar.

Familiarity with developing systems that involve LLM-generated code and its secure execution (e.g., using Docker, E2B, or other sandboxing technologies).

Understanding of chatbot development principles and conversational AI.

Experience in a startup environment or working on novel AI applications.

Bonus Points:

Familiarity with frontend technologies like ReactJS.

Experience with cloud platforms (e.g., GCP, AWS, Azure) and deploying AI/ML models.

Our Culture & What We Value:

Building an inclusive, collaborative, and high-performing culture.

Humility: Embrace learning and are open to growth.

Open to Feedback: Constructive criticism is welcomed for improvement.

Accountability: Encourage ownership of work and responsibility for outcomes.

Collaborative Problem Solving: Focus on "us versus the problem."

Agile Mindset: Managers and team members work together collaboratively.

Transparency: Open environment where information is accessible.

Approachability: Promote direct communication and understanding of company goals.

Deeply committed to building a diverse team and an inclusive environment.

Why Join Us?

Impact: Play a foundational role in an early-stage AI startup.

Challenge: Work on intellectually stimulating problems at the cutting edge of AI and software engineering.

Growth: Unparalleled opportunity for learning and professional development.

Collaboration: Be part of a supportive, humble, and collaborative team.

Flexibility: Enjoy the benefits of a remote work environment.

Interested?

If you're a passionate backend engineer ready to dive into complex AI challenges and contribute to a groundbreaking platform, we'd love to hear from you!

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!



About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Skills from this JD

Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.

Python Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Python id=5 · python

Aliases — catalog

  • Python (CANONICAL) primary
  • Python 2 (VERSION)
  • Python 2.x (VERSION)
  • Python 3 (VERSION)
  • Python 3.10 (VERSION)
  • Python 3.11 (VERSION)
  • Python 3.12 (VERSION)
  • Python 3.x (VERSION)
  • py (VERSION)
  • py2 (VERSION)
  • py3 (VERSION)
  • python 3 (VERSION)
  • python 3.x (VERSION)
  • python2 (VERSION)
  • python3 (VERSION)
  • python3.x (VERSION)

Context tags (catalog)

API Django FastAPI Flask Jupyter NumPy PEP 8 Pandas REST SQLAlchemy asyncio pandas pip pytest type hints venv virtualenv

Stored enrichment (catalog DB)

Category
Language
Sub-category
Programming Language
Vendor
PSF
License
mit
Year introduced
1991
Confidence
0.99
Version strategy
SEPARATE_ENTITY
Version tag
3

Maturity reasoning: Python appears in a very high volume of job descriptions across data, backend, automation, and ML roles, and remains a default hiring-pipeline language on major job boards and tech stacks.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
6
Sub-category id
96
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Security Scripting & DSL Languages Catalog dimension db id 248

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer

  • Programming Languages Catalog dimension db id 1

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Fullstack Developer, Fullstack Developer

  • Programming Languages & DSLs Catalog dimension db id 475

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

  • Programming Languages and Scripting Catalog dimension db id 59

    Library dimension (catalog)

    Roles linked in library: Cyber Security Engineer

  • Programming Languages for Data Work Catalog dimension db id 21

    Library dimension (catalog)

    Roles linked in library: Data Engineer

  • Programming Languages for ML Systems Catalog dimension db id 39

    Library dimension (catalog)

    Roles linked in library: ML Engineer, MLOps Engineer

  • Programming Languages for XR Catalog dimension db id 97

    Library dimension (catalog)

    Roles linked in library: AR/VR Engineer

  • Python Programming Catalog dimension db id 290

    Library dimension (catalog)

    Roles linked in library: Python Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Security Scripting & DSL Languages
cloud-security-scripting-dsl-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for XR
programming-languages-for-xr
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python Programming
python-programming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
FastAPI Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: FastAPI id=1201 · fastapi

Aliases — catalog

  • FastAPI (CANONICAL) primary

Context tags (catalog)

API documentation ASGI CORS JSON JSON Schema OAuth2 OpenAPI Pydantic RESTful Starlette UVicorn WebSocket async async programming data validation dependency injection middleware path parameters query parameters type hints uvicorn

Stored enrichment (catalog DB)

Category
Framework
Sub-category
Web Framework
Vendor
Sebastián Ramírez
License
mit
Year introduced
2018
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: FastAPI appears in many Python backend job postings and has strong GitHub adoption; it’s now a common choice for API development alongside Flask/Django rather than a niche tool.

Skill profile (library / DB)

Skill nature
FRAMEWORK
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
5
Sub-category id
35
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

  • Web Application Frameworks Catalog dimension db id 2

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Fullstack Developer, Fullstack Developer, Java Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Web Application Frameworks
web-application-frameworks
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
LangChain Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: LangChain id=240 · langchain

Aliases — catalog

  • LangChain (CANONICAL) primary

Context tags (catalog)

API integration Hugging Face LLM LLMs OpenAI RAG agents callbacks chains data augmentation deployment document loaders embeddings fine-tuning memory prompt engineering prompt templates prompts retrieval retrievers state management streaming text splitters toolkits tools vector database vector stores

Stored enrichment (catalog DB)

Category
Framework
Sub-category
Llm Application Framework
Vendor
Harrison Chase
License
mit
Year introduced
2022
Confidence
0.97
Version strategy
NOT_APPLICABLE

Maturity reasoning: LangChain appears in many recent AI/LLM job postings and is widely used in app prototypes, but it’s still not a universal hiring staple like React or AWS.

Skill profile (library / DB)

Skill nature
FRAMEWORK
Volatility
EMERGING
Typical lifespan
EVERGREEN
Category id
5
Sub-category id
146
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • LLM Operations and Orchestration Catalog dimension db id 49

    Library dimension (catalog)

    Roles linked in library: AI Engineer, ML Engineer, MLOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
LLM Operations and Orchestration
llm-operations-and-orchestration
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Gemini Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
REST Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: REST id=11 · rest

Aliases — catalog

  • REST (CANONICAL) primary

Context tags (catalog)

API API design API versioning CRUD DELETE GET HATEOAS HTTP JSON OAuth OAuth2 OpenAPI POST PUT Postman RESTful Swagger URI Webhooks XML authentication client-server content negotiation endpoint endpoints middleware resource resource-oriented serialization stateless status codes versioning web services

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Api Architecture Style
Year introduced
2000
Confidence
0.88
Version strategy
NOT_APPLICABLE

Maturity reasoning: REST is a default API architecture in many job descriptions and is widely supported by major vendors/frameworks; OpenAPI and RESTful endpoints remain standard in hiring pipelines.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
2122
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • API Design and Contracts Catalog dimension db id 3

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Fullstack Developer, Fullstack Developer

  • API Interface and Contract Design Catalog dimension db id 289

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Go Backend Developer, Kotlin Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer, Ruby Backend Developer, Scala Backend Developer

  • Integration Protocols & Standards Catalog dimension db id 271

    Library dimension (catalog)

    Roles linked in library: Pega Developer

  • Standards, Protocols & Compliance Catalog dimension db id 452

    Library dimension (catalog)

    Roles linked in library: Engineering Manager, Sitecore Dev

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
API Design and Contracts
api-design-and-contracts
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
API Interface and Contract Design
api-interface-and-contract-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Integration Protocols & Standards
integration-protocols-standards
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Standards, Protocols & Compliance
standards-protocols-compliance
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Docker Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Docker id=61 · docker

Aliases — catalog

  • Docker (CANONICAL) primary

Context tags (catalog)

CI/CD Compose DevOps Docker Compose Docker Swarm Dockerfile Kubernetes build pipeline container container lifecycle container orchestration container registry container security containerization containers image image registry images immutable infrastructure lightweight virtualization microservices networking orchestration port mapping registry scalability service discovery swarm volume volume management

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Containerization Tool
Vendor
Docker, Inc.
License
apache_2
Year introduced
2013
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Docker is a hiring-pipeline staple: it appears in many DevOps, backend, and platform JDs, and remains a standard containerization tool alongside Kubernetes in production stacks.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
63
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Containerization and Image Builds Catalog dimension db id 152

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • Deployment and Cloud Platforms Catalog dimension db id 418

    Library dimension (catalog)

    Roles linked in library: Ruby Backend Developer

  • Deployment and Runtime Configuration Catalog dimension db id 13

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Go Backend Developer, PHP Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Containerization and Image Builds
containerization-and-image-builds
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Deployment and Cloud Platforms
deployment-and-cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Deployment and Runtime Configuration
deployment-and-runtime-configuration
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
E2B Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
FAST
Typical lifespan
SHORT_LIVED
Version strategy
VERSIONED
React Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: React id=610 · react

Aliases — catalog

  • React (CANONICAL) primary
  • React 0.13 (VERSION)
  • React 0.14 (VERSION)
  • React 15 (VERSION)
  • React 15.x (VERSION)
  • React 16 (VERSION)
  • React 16.x (VERSION)
  • React 17 (VERSION)
  • React 17.x (VERSION)
  • React 18 (VERSION)
  • React 18.x (VERSION)
  • React 19 (VERSION)
  • React v15 (VERSION)
  • React v16 (VERSION)
  • React v17 (VERSION)
  • React v18 (VERSION)
  • React v19 (VERSION)
  • ReactJS 18 (VERSION)
  • react 15 (VERSION)
  • react 16 (VERSION)
  • react 17 (VERSION)
  • react 18 (VERSION)
  • react 19 (VERSION)
  • react15 (VERSION)
  • react16 (VERSION)
  • react17 (VERSION)
  • react18 (VERSION)
  • react19 (VERSION)
  • reactjs 18 (VERSION)

Context tags (catalog)

Babel Class Components Component Lifecycle Context API Functional Components Higher-Order Components Hooks JSX Next.js PropTypes Props React Native React Router Redux SSR State Management Styled Components Testing Library TypeScript Virtual DOM Webpack component lifecycle context API frontend hooks props state management useEffect useState virtual DOM

Stored enrichment (catalog DB)

Category
Framework
Sub-category
Frontend Framework
Vendor
Meta
License
mit
Year introduced
2013
Confidence
0.98
Version strategy
SEPARATE_ENTITY
Version tag
18

Maturity reasoning: React appears in high-volume frontend job postings across startups and enterprises and remains a default hiring-pipeline skill, with strong GitHub/npm usage and ecosystem activity.

Skill profile (library / DB)

Skill nature
FRAMEWORK
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
5
Sub-category id
1072
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Application Frameworks & Libraries Catalog dimension db id 451

    Library dimension (catalog)

    Roles linked in library: Sitecore Dev

  • Frameworks & Libraries Catalog dimension db id 360

    Library dimension (catalog)

    Roles linked in library: Drupal Dev, Engineering Manager

  • Frontend Frameworks and Libraries Catalog dimension db id 434

    Library dimension (catalog)

    Roles linked in library: Shopify Dev

  • JavaScript for WordPress Catalog dimension db id 329

    Library dimension (catalog)

    Roles linked in library: WordPress Dev

  • React Component Architecture Catalog dimension db id 302

    Library dimension (catalog)

    Roles linked in library: React Frontend Developer

  • UI Frameworks and Rendering Catalog dimension db id 115

    Library dimension (catalog)

    Roles linked in library: Frontend Developer, Fullstack Developer, Fullstack Developer, Hybrid Mobile Developer, Ionic Developer, Web Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Application Frameworks & Libraries
application-frameworks-libraries
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Frameworks & Libraries
frameworks-libraries
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Frontend Frameworks and Libraries
frontend-frameworks-and-libraries
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript for WordPress
javascript-for-wordpress
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
React Component Architecture
react-component-architecture
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
UI Frameworks and Rendering
ui-frameworks-and-rendering
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GCP Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: GCP id=186 · gcp

Aliases — catalog

  • GCP (CANONICAL) primary

Context tags (catalog)

Anthos App Engine Artifact Registry BigQuery Cloud Build Cloud Composer Cloud Functions Cloud Logging Cloud Monitoring Cloud Run Cloud SQL Cloud Spanner Cloud Storage Compute Engine Dataflow GKE IAM Kubernetes Pub/Sub Service Accounts Stackdriver Terraform VPC

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Cloud Platform
Vendor
Google
License
other_open
Year introduced
2011
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: GCP appears frequently in cloud/platform job descriptions and is a major hyperscaler alongside AWS/Azure, with broad enterprise adoption and active vendor investment.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
46
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Platforms Catalog dimension db id 20

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Cyber Security Engineer, Data Engineer, DevOps Engineer, Fullstack Developer, Go Backend Developer, Java Backend Developer, Kotlin Backend Developer, ML Engineer, MLOps Engineer, Node.js Backend Developer, Python Backend Developer, Scala Backend Developer

  • Cloud Platforms for AI Deployment Catalog dimension db id 211

    Library dimension (catalog)

    Roles linked in library: AI Engineer

  • Cloud Provider Platforms Catalog dimension db id 131

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, Cloud Security Engineer

  • Cloud Security Posture Tools Catalog dimension db id 64

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer, Cyber Security Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Provider Platforms
cloud-provider-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Security Posture Tools
cloud-security-posture-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: AWS id=187 · aws

Aliases — catalog

  • AWS (CANONICAL) primary

Context tags (catalog)

API Gateway AWS CLI Auto Scaling CloudFormation CloudFront CloudTrail CloudWatch Cognito DynamoDB EC2 ECS EKS Elastic Beanstalk Elastic Load Balancing IAM KMS Lambda RDS Route 53 S3 SNS SQS Serverless VPC

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Cloud Platform
Vendor
Amazon
License
other_open
Year introduced
2006
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: AWS is a hiring-pipeline staple: it appears in a large share of cloud/DevOps job descriptions and dominates public cloud market share, with broad certification and vendor ecosystem support.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
46
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Platforms Catalog dimension db id 20

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Cyber Security Engineer, Data Engineer, DevOps Engineer, Fullstack Developer, Go Backend Developer, Java Backend Developer, Kotlin Backend Developer, ML Engineer, MLOps Engineer, Node.js Backend Developer, Python Backend Developer, Scala Backend Developer

  • Cloud Platforms for AI Deployment Catalog dimension db id 211

    Library dimension (catalog)

    Roles linked in library: AI Engineer

  • Cloud Provider Platforms Catalog dimension db id 131

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, Cloud Security Engineer

  • Cloud Security Posture Tools Catalog dimension db id 64

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer, Cyber Security Engineer

  • Vendor Product Families Catalog dimension db id 477

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Provider Platforms
cloud-provider-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Security Posture Tools
cloud-security-posture-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Vendor Product Families
vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Azure id=188 · azure

Aliases — catalog

  • Azure (CANONICAL) primary

Context tags (catalog)

AKS ARM templates App Service Azure AD Azure Active Directory Azure App Service Azure Blob Azure Blob Storage Azure Cognitive Services Azure Cosmos DB Azure DevOps Azure DevTest Labs Azure Functions Azure Kubernetes Service Azure Logic Apps Azure Monitor Azure Networking Azure Resource Manager Azure SQL Azure SQL Database Azure Security Center Azure Storage Azure Storage Explorer Azure Virtual Machines Bicep Blob Storage Cloud Services Cosmos DB Entra ID Functions Infrastructure as Code Key Vault Log Analytics Logic Apps Resource Groups Serverless Computing Service Bus Storage Account Terraform Virtual Machines

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Cloud Platform
Vendor
Microsoft
License
proprietary
Year introduced
2010
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Azure is broadly adopted and frequently appears in cloud/platform job descriptions alongside AWS and GCP; Microsoft’s ongoing enterprise investment and Azure certification demand signal strong hiring-pipeline relevance.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
46
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Platforms Catalog dimension db id 20

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Cyber Security Engineer, Data Engineer, DevOps Engineer, Fullstack Developer, Go Backend Developer, Java Backend Developer, Kotlin Backend Developer, ML Engineer, MLOps Engineer, Node.js Backend Developer, Python Backend Developer, Scala Backend Developer

  • Cloud Platforms & Managed Services Catalog dimension db id 221

    Library dimension (catalog)

    Roles linked in library: Fullstack Developer, Go Backend Developer, Node.js Backend Developer

  • Cloud Platforms for AI Deployment Catalog dimension db id 211

    Library dimension (catalog)

    Roles linked in library: AI Engineer

  • Cloud Provider Platforms Catalog dimension db id 131

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, Cloud Security Engineer

  • Cloud Security Posture Tools Catalog dimension db id 64

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer, Cyber Security Engineer

  • Vendor Product Families Catalog dimension db id 477

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Platforms & Managed Services
cloud-platforms-managed-services
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Provider Platforms
cloud-provider-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Security Posture Tools
cloud-security-posture-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Vendor Product Families
vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
LLMs Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: LLMs id=1193 · llms

Aliases — catalog

  • LLMs (CANONICAL)

Context tags (catalog)

BERT GPT NLP attention mechanism contextual embeddings fine-tuning language generation model training pre-trained models prompt engineering text classification tokenization transfer learning transformers zero-shot learning

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Large Language Models
Confidence
0.96
Version strategy
NOT_APPLICABLE

Maturity reasoning: LLMs are increasingly listed in job descriptions for AI/ML and product roles, and major vendors (OpenAI, Anthropic, Google) are shipping APIs and platforms, but they are not yet universal across engineering hiring.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
EMERGING
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
903
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Chatbot development Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Practices
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Conversational AI Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED

All API 3 persistence rows

Same grid as the skill-extractor “Persistence items” table: one row per (skill × dimension) work item.

Skill Tag Dimension Skill↔dim Role↔dim Outcome Notes
Python in_db
Cloud Security Scripting & DSL Languages
cloud-security-scripting-dsl-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for XR
programming-languages-for-xr
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Python Programming
python-programming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
FastAPI in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
FastAPI in_db
Web Application Frameworks
web-application-frameworks
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
LangChain in_db
LLM Operations and Orchestration
llm-operations-and-orchestration
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
REST in_db
API Design and Contracts
api-design-and-contracts
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
REST in_db
API Interface and Contract Design
api-interface-and-contract-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
REST in_db
Integration Protocols & Standards
integration-protocols-standards
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
REST in_db
Standards, Protocols & Compliance
standards-protocols-compliance
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Docker in_db
Containerization and Image Builds
containerization-and-image-builds
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Docker in_db
Deployment and Cloud Platforms
deployment-and-cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Docker in_db
Deployment and Runtime Configuration
deployment-and-runtime-configuration
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
React in_db
Application Frameworks & Libraries
application-frameworks-libraries
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
React in_db
Frameworks & Libraries
frameworks-libraries
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
React in_db
Frontend Frameworks and Libraries
frontend-frameworks-and-libraries
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
React in_db
JavaScript for WordPress
javascript-for-wordpress
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
React in_db
React Component Architecture
react-component-architecture
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
React in_db
UI Frameworks and Rendering
ui-frameworks-and-rendering
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GCP in_db
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GCP in_db
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GCP in_db
Cloud Provider Platforms
cloud-provider-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GCP in_db
Cloud Security Posture Tools
cloud-security-posture-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS in_db
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS in_db
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS in_db
Cloud Provider Platforms
cloud-provider-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS in_db
Cloud Security Posture Tools
cloud-security-posture-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS in_db
Vendor Product Families
vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure in_db
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure in_db
Cloud Platforms & Managed Services
cloud-platforms-managed-services
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure in_db
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure in_db
Cloud Provider Platforms
cloud-provider-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure in_db
Cloud Security Posture Tools
cloud-security-posture-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure in_db
Vendor Product Families
vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
LLMs in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Gemini | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed E2B | type=Concepts subtype=general nature=CONCEPT lifespan=SHORT_LIVED
canonical_skill_proposed Chatbot development | type=Practices subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Conversational AI | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
nano JD Parser — gpt-4.1-nano click to toggle
RoleSenior Backend Engineer (AI Agent Orchestration) - Contract
CompanyBatlabsAI
Experience3.00 + years
CTC{'max': 1851, 'min': 1851, 'raw': 'USD 1851 / month (based on experience)', 'period': 'monthly', 'currency': 'USD'}
DomainOther
Location(remote)
JD type pass
Show raw JSON
{
  "JD_type": "pass",
  "about_company": {
    "source_marker": {
      "first_5_words": "At Batlabs AI, we\u0027re at",
      "last_5_words": "future of AI applications, Batlabs"
    },
    "text": "At Batlabs AI, we\u0027re at the forefront of applying cutting-edge artificial intelligence to solve complex, real-world challenges in the [mention a slightly broader field like \"scientific R\u0026D\" or \"industrial process optimization\" if \"materials manufacturing\" is too specific for IP reasons] space. We\u0027re an early-stage startup fueled by innovation, a passion for tackling difficult problems, and a commitment to making a significant impact. If you\u0027re excited by the prospect of building intelligent systems from the ground up and shaping the future of AI applications, Batlabs AI is the place for you.",
    "word_count": 64
  },
  "certifications": [],
  "company_name": "BatlabsAI",
  "ctc": {
    "currency": "USD",
    "max": 1851,
    "min": 1851,
    "period": "monthly",
    "raw": "USD 1851 / month (based on experience)"
  },
  "domain": {
    "primary": {
      "aliases": [],
      "domain": "Other"
    },
    "secondary": null
  },
  "education": [],
  "experience": {
    "max": null,
    "min": 3,
    "raw": "3.00 + years"
  },
  "job_locations": [
    {
      "aliases": [],
      "city": null,
      "country": null,
      "state": null,
      "work_mode": "remote"
    }
  ],
  "role": "Senior Backend Engineer (AI Agent Orchestration) - Contract",
  "role_aliases": [
    "Backend Engineer",
    "Software Engineer",
    "SWE"
  ],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 8,
      "heading": "What You\u0027ll Do",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Design, develop, and deploy robust",
        "last_5_words": "AI, LLMs, and backend technologies."
      },
      "text": "Design, develop, and deploy robust and scalable backend services using Python and FastAPI.\nArchitect and implement AI agent-based workflows using Langchain, defining agent roles, tools, and orchestration logic.\nIntegrate Large Language Models (like Gemini) for code generation, data analysis, and complex reasoning.\nDevelop and integrate tools for AI agents, potentially involving secure code execution sandboxes (like E2B or Docker).\nBuild and maintain APIs for frontend-backend communication and potential third-party integrations.\nCollaborate closely with a small, agile team to define requirements, design solutions, and iterate quickly.\nChampion best practices in software development, including security, testing, and maintainability.\nEmbrace a culture of continuous learning, staying updated with advancements in AI, LLMs, and backend technologies.",
      "word_count": 134
    },
    {
      "bullet_count": 12,
      "heading": "What We\u0027re Looking For",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Essential Skills \u0026 Experience: Proven",
        "last_5_words": "AI/ML models."
      },
      "text": "Essential Skills \u0026 Experience:\nProven experience in backend development using Python.\nStrong experience with web frameworks, particularly FastAPI.\nSolid understanding of API design principles (RESTful, etc.).\nA proactive, problem-solving mindset with a willingness to tackle challenging and often ambiguous problems.\nDemonstrated ability to learn quickly and adapt to new technologies and concepts.\n\nPreferred \u0026 Highly Valued Experience:\nHands-on experience with Langchain for developing AI agent workflows or similar agent-based systems.\nExperience integrating and working with Large Language Models (LLMs) like Gemini, GPT, or similar.\nFamiliarity with developing systems that involve LLM-generated code and its secure execution (e.g., using Docker, E2B, or other sandboxing technologies).\nUnderstanding of chatbot development principles and conversational AI.\nExperience in a startup environment or working on novel AI applications.\n\nBonus Points:\nFamiliarity with frontend technologies like ReactJS.\nExperience with cloud platforms (e.g., GCP, AWS, Azure) and deploying AI/ML models.",
      "word_count": 246
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Python"
    },
    {
      "is_primary": true,
      "skill_name": "FastAPI"
    },
    {
      "is_primary": true,
      "skill_name": "LangChain"
    },
    {
      "is_primary": true,
      "skill_name": "Gemini"
    },
    {
      "is_primary": true,
      "skill_name": "REST"
    },
    {
      "is_primary": false,
      "skill_name": "Docker"
    },
    {
      "is_primary": false,
      "skill_name": "E2B"
    },
    {
      "is_primary": false,
      "skill_name": "React"
    },
    {
      "is_primary": false,
      "skill_name": "GCP"
    },
    {
      "is_primary": false,
      "skill_name": "AWS"
    },
    {
      "is_primary": false,
      "skill_name": "Azure"
    },
    {
      "is_primary": true,
      "skill_name": "LLMs"
    },
    {
      "is_primary": false,
      "skill_name": "Chatbot development"
    },
    {
      "is_primary": false,
      "skill_name": "Conversational AI"
    }
  ],
  "jd_role": {
    "display_name": "Senior Backend Engineer (AI Agent Orchestration) - Contract",
    "rationale": null,
    "role_aliases": [
      "Backend Engineer",
      "Software Engineer",
      "SWE"
    ],
    "role_archetype": "Engineering",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": {
      "source_marker": {
        "first_5_words": "At Batlabs AI, we\u0027re at",
        "last_5_words": "future of AI applications, Batlabs"
      },
      "text": "At Batlabs AI, we\u0027re at the forefront of applying cutting-edge artificial intelligence to solve complex, real-world challenges in the [mention a slightly broader field like \"scientific R\u0026D\" or \"industrial process optimization\" if \"materials manufacturing\" is too specific for IP reasons] space. We\u0027re an early-stage startup fueled by innovation, a passion for tackling difficult problems, and a commitment to making a significant impact. If you\u0027re excited by the prospect of building intelligent systems from the ground up and shaping the future of AI applications, Batlabs AI is the place for you.",
      "word_count": 64
    },
    "certifications": [],
    "company_name": "BatlabsAI",
    "ctc": {
      "currency": "USD",
      "max": 1851,
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    "domain": {
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      "secondary": null
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    "education": [],
    "experience": {
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      "min": 3,
      "raw": "3.00 + years"
    },
    "job_locations": [
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        "country": null,
        "state": null,
        "work_mode": "remote"
      }
    ],
    "role": "Senior Backend Engineer (AI Agent Orchestration) - Contract",
    "role_aliases": [
      "Backend Engineer",
      "Software Engineer",
      "SWE"
    ],
    "role_archetype": "Engineering",
    "roles_and_responsibilities": [
      {
        "bullet_count": 8,
        "heading": "What You\u0027ll Do",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "Design, develop, and deploy robust",
          "last_5_words": "AI, LLMs, and backend technologies."
        },
        "text": "Design, develop, and deploy robust and scalable backend services using Python and FastAPI.\nArchitect and implement AI agent-based workflows using Langchain, defining agent roles, tools, and orchestration logic.\nIntegrate Large Language Models (like Gemini) for code generation, data analysis, and complex reasoning.\nDevelop and integrate tools for AI agents, potentially involving secure code execution sandboxes (like E2B or Docker).\nBuild and maintain APIs for frontend-backend communication and potential third-party integrations.\nCollaborate closely with a small, agile team to define requirements, design solutions, and iterate quickly.\nChampion best practices in software development, including security, testing, and maintainability.\nEmbrace a culture of continuous learning, staying updated with advancements in AI, LLMs, and backend technologies.",
        "word_count": 134
      },
      {
        "bullet_count": 12,
        "heading": "What We\u0027re Looking For",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "Essential Skills \u0026 Experience: Proven",
          "last_5_words": "AI/ML models."
        },
        "text": "Essential Skills \u0026 Experience:\nProven experience in backend development using Python.\nStrong experience with web frameworks, particularly FastAPI.\nSolid understanding of API design principles (RESTful, etc.).\nA proactive, problem-solving mindset with a willingness to tackle challenging and often ambiguous problems.\nDemonstrated ability to learn quickly and adapt to new technologies and concepts.\n\nPreferred \u0026 Highly Valued Experience:\nHands-on experience with Langchain for developing AI agent workflows or similar agent-based systems.\nExperience integrating and working with Large Language Models (LLMs) like Gemini, GPT, or similar.\nFamiliarity with developing systems that involve LLM-generated code and its secure execution (e.g., using Docker, E2B, or other sandboxing technologies).\nUnderstanding of chatbot development principles and conversational AI.\nExperience in a startup environment or working on novel AI applications.\n\nBonus Points:\nFamiliarity with frontend technologies like ReactJS.\nExperience with cloud platforms (e.g., GCP, AWS, Azure) and deploying AI/ML models.",
        "word_count": 246
      }
    ],
    "urls": []
  },
  "rejected": false,
  "rejection_reason": null,
  "run_id": "83cc23f6-5656-4257-b7ff-06cf1871cf9d",
  "stage3_signals": {
    "alias_found": true,
    "alias_match_roles": [
      {
        "display_name": "Backend Developer",
        "kra_matches": null,
        "matched_count": null,
        "matched_skills": null,
        "role_id": 1,
        "score": 1.0,
        "slug": "backend-engineer",
        "total_count": null
      }
    ],
    "kra_match_roles": [
      {
        "display_name": "AI Engineer",
        "kra_matches": [
          {
            "kra_text": "Translates product requirements into AI-powered features by integrating large language models like GPT-4, Claude, or Gemini into application workflows via API.",
            "sentence": "Integrate Large Language Models (like Gemini) for code generation, data analysis, and complex reasoning.",
            "similarity": 0.6123
          },
          {
            "kra_text": "Translates product requirements into AI-powered features by integrating large language models like GPT-4, Claude, or Gemini into application workflows via API.",
            "sentence": "Experience integrating and working with Large Language Models (LLMs) like Gemini, GPT, or similar.",
            "similarity": 0.5938
          },
          {
            "kra_text": "Integrates AI model API responses with application business logic, database writes, event publishing, and downstream service orchestration.",
            "sentence": "Build and maintain APIs for frontend-backend communication and potential third-party integrations.",
            "similarity": 0.5407
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 13,
        "score": 0.5823,
        "slug": "ai-engineer",
        "total_count": null
      },
      {
        "display_name": "Fullstack Developer",
        "kra_matches": [
          {
            "kra_text": "Builds and integrates client-side React or Vue components with server-side Node.js or Django APIs, managing bidirectional data flow across frontend and backend layers.",
            "sentence": "Build and maintain APIs for frontend-backend communication and potential third-party integrations.",
            "similarity": 0.6522
          },
          {
            "kra_text": "Works closely with product managers and UX designers to translate requirements and wireframes into working software features through iterative development.",
            "sentence": "Collaborate closely with a small, agile team to define requirements, design solutions, and iterate quickly.",
            "similarity": 0.5915
          },
          {
            "kra_text": "Builds and integrates client-side React or Vue components with server-side Node.js or Django APIs, managing bidirectional data flow across frontend and backend layers.",
            "sentence": "Design, develop, and deploy robust and scalable backend services using Python and FastAPI.",
            "similarity": 0.4825
          }
        ],
        "matched_count": null,
        "matched_skills": null,
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          {
            "kra_text": "maintain code quality",
            "sentence": "Champion best practices in software development, including security, testing, and maintainability.",
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      },
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        "display_name": "Python Backend Developer",
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          },
          {
            "kra_text": "Refactor existing Python backend code",
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          },
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      },
      {
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        "kra_matches": [
          {
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            "sentence": "Collaborate closely with a small, agile team to define requirements, design solutions, and iterate quickly.",
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          },
          {
            "kra_text": "integrate external APIs and data sources",
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          },
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        ],
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        "score": 0.5362,
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      }
    ],
    "skill_match_roles": [
      {
        "display_name": "Fullstack Developer",
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        "matched_count": 3,
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          "FastAPI",
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          "REST"
        ],
        "role_id": 435,
        "score": 0.5,
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        "total_count": 6
      },
      {
        "display_name": "Fullstack Developer",
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          "FastAPI",
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        ],
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      },
      {
        "display_name": "Python Backend Developer",
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      {
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        "total_count": 6
      },
      {
        "display_name": "ML Engineer",
        "kra_matches": null,
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        "matched_skills": [
          "LangChain",
          "Python"
        ],
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    ]
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "DOMAIN",
    "chosen_role": {
      "display_name": "LLM / GenAI Engineer",
      "kra_matches": null,
      "matched_count": null,
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      "slug": "llm-genai-engineer",
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    },
    "confidence": 0.97,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "matched_dimensions": [
      "Backend Service Development",
      "AI Agent Orchestration",
      "LLM Integration",
      "Secure Code Execution Sandboxing",
      "API Design and Integration",
      "Software Quality and Maintainability",
      "Cross-functional Collaboration",
      "Cloud Deployment"
    ],
    "matched_kras": [
      "Design, develop, and deploy robust and scalable backend services",
      "Architect and implement AI agent-based workflows",
      "Integrate Large Language Models (like Gemini)",
      "Develop and integrate tools for AI agents",
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      "Champion best practices in software development",
      "Collaborate closely with a small, agile team"
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    "matched_skills": [
      "Python",
      "FastAPI",
      "Langchain",
      "Gemini",
      "LLMs",
      "Docker",
      "E2B",
      "RESTful",
      "ReactJS",
      "GCP",
      "AWS",
      "Azure"
    ],
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Domain=AI / ML; The JD centers on building AI agent workflows, integrating LLMs, and developing agent tools/orchestration, which best matches LLM/GenAI engineering.",
    "sub_role": null
  },
  "stage5_updates": {
    "centroid_n_after": 12,
    "centroid_updated": true,
    "collision_log_id": null,
    "new_kra_attached": {
      "best_kra_similarity": 0.0,
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      "role_display_name": "LLM / GenAI Engineer",
      "role_slug": "llm-genai-engineer",
      "status": "pending"
    },
    "new_skills_attached": [
      {
        "is_primary": true,
        "queue_id": 21914,
        "role_display_name": "LLM / GenAI Engineer",
        "role_slug": "llm-genai-engineer",
        "skill_name": "Gemini",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 21915,
        "role_display_name": "LLM / GenAI Engineer",
        "role_slug": "llm-genai-engineer",
        "skill_name": "E2B",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 21916,
        "role_display_name": "LLM / GenAI Engineer",
        "role_slug": "llm-genai-engineer",
        "skill_name": "Chatbot development",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 21917,
        "role_display_name": "LLM / GenAI Engineer",
        "role_slug": "llm-genai-engineer",
        "skill_name": "Conversational AI",
        "status": "pending"
      }
    ],
    "queue_entry_id": null,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
  }
}
API 2 — extract-details
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      "alias_persisted": false,
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
        "slug": "python",
        "sub_category_id": 96,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 1837,
      "existing_alias_text": "FastAPI",
      "input_term": "FastAPI",
      "matched_canonical": {
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "FRAMEWORK",
        "slug": "fastapi",
        "sub_category_id": 35,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 501,
      "existing_alias_text": "LangChain",
      "input_term": "LangChain",
      "matched_canonical": {
        "category_id": 5,
        "display_name": "LangChain",
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "FRAMEWORK",
        "slug": "langchain",
        "sub_category_id": 146,
        "typical_lifespan": "EVERGREEN",
        "volatility": "EMERGING"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 106,
      "existing_alias_text": "REST",
      "input_term": "REST",
      "matched_canonical": {
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "rest",
        "sub_category_id": 2122,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 198,
      "existing_alias_text": "Docker",
      "input_term": "Docker",
      "matched_canonical": {
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        "display_name": "Docker",
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "docker",
        "sub_category_id": 63,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 1047,
      "existing_alias_text": "React",
      "input_term": "React",
      "matched_canonical": {
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        "display_name": "React",
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "FRAMEWORK",
        "slug": "react",
        "sub_category_id": 1072,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 405,
      "existing_alias_text": "GCP",
      "input_term": "GCP",
      "matched_canonical": {
        "category_id": 9,
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "gcp",
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        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 406,
      "existing_alias_text": "AWS",
      "input_term": "AWS",
      "matched_canonical": {
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
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      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 407,
      "existing_alias_text": "Azure",
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        "is_also_category": false,
        "is_extractable": true,
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      "matched_via": "alias"
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    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 1829,
      "existing_alias_text": "LLMs",
      "input_term": "LLMs",
      "matched_canonical": {
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        "display_name": "LLMs",
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
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        "typical_lifespan": "EVERGREEN",
        "volatility": "EMERGING"
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      "matched_via": "alias"
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  ],
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      "slug": "data-engineer",
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      "display_name": "ML Engineer",
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      "slug": "ml-engineer",
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      "display_name": "MLOps Engineer",
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      "slug": "ml-ops-engineer",
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    },
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      "display_name": "AR/VR Engineer",
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      "slug": "ar-vr-engineer",
      "source": "db"
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    },
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      "display_name": "Node.js Backend Developer",
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      "rationale": null,
      "role_archetype": "Engineering",
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    },
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      "display_name": "PHP Backend Developer",
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      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "php-backend-developer",
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      "display_name": "AI Engineer",
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      "slug": "ai-engineer",
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      "display_name": ".NET Backend Developer",
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      "rationale": null,
      "role_archetype": "Engineering",
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      "rationale": null,
      "role_archetype": "Engineering",
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    },
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      "slug": "pega-developer",
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    },
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    },
    {
      "display_name": "DevOps Engineer",
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      "rationale": null,
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      "display_name": "WordPress Dev",
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    },
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  "chosen_role": {
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  "dimensions": [
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      "dimension": {
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              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-architect",
              "source": "db"
            },
            {
              "display_name": "Cloud Security Engineer",
              "id": 23,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-security-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Cloud Security Posture Tools",
            "id": 64,
            "rationale": "Cloud-native security platforms used to assess misconfiguration, workload exposure, and cloud control coverage. This dimension includes the major CNAPP/CSPM/CWPP vendors and cloud security services the role reviews and tunes.",
            "slug": "cloud-security-posture-tools",
            "source": "db"
          },
          "input_skill": "AWS",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Security Engineer",
              "id": 23,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-security-engineer",
              "source": "db"
            },
            {
              "display_name": "Cyber Security Engineer",
              "id": 5,
              "rationale": null,
              "role_archetype": null,
              "slug": "cybersecurity-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Vendor Product Families",
            "id": 477,
            "rationale": "Coordinate usage, licensing, and architecture decisions for major vendor software and cloud product families.",
            "slug": "vendor-product-families",
            "source": "db"
          },
          "input_skill": "AWS",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Engineering Manager",
              "id": 121,
              "rationale": null,
              "role_archetype": null,
              "slug": "engineering-manager",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "AWS",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Azure",
          "alias_type": "CANONICAL",
          "id": 407,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 9,
        "display_name": "Azure",
        "id": 188,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "azure",
        "sub_category_id": 46,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Cloud Platforms",
            "id": 20,
            "rationale": "Underlying cloud providers that host the managed services or infrastructure used by the role, such as AWS, Azure, and GCP.",
            "slug": "cloud-platforms",
            "source": "db"
          },
          "input_skill": "Azure",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": ".NET Backend Developer",
              "id": 83,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "dotnet-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Backend Developer",
              "id": 1,
              "rationale": null,
              "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
              "slug": "backend-engineer",
              "source": "db"
            },
            {
              "display_name": "Cyber Security Engineer",
              "id": 5,
              "rationale": null,
              "role_archetype": null,
              "slug": "cybersecurity-engineer",
              "source": "db"
            },
            {
              "display_name": "Data Engineer",
              "id": 2,
              "rationale": null,
              "role_archetype": null,
              "slug": "data-engineer",
              "source": "db"
            },
            {
              "display_name": "DevOps Engineer",
              "id": 10,
              "rationale": null,
              "role_archetype": null,
              "slug": "devops-engineer",
              "source": "db"
            },
            {
              "display_name": "Fullstack Developer",
              "id": 15,
              "rationale": null,
              "role_archetype": null,
              "slug": "full-stack-engineer",
              "source": "db"
            },
            {
              "display_name": "Go Backend Developer",
              "id": 81,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "go-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Java Backend Developer",
              "id": 79,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "java-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Kotlin Backend Developer",
              "id": 84,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "kotlin-server-backend-developer",
              "source": "db"
            },
            {
              "display_name": "ML Engineer",
              "id": 3,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-engineer",
              "source": "db"
            },
            {
              "display_name": "MLOps Engineer",
              "id": 16,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-ops-engineer",
              "source": "db"
            },
            {
              "display_name": "Node.js Backend Developer",
              "id": 82,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "node-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Python Backend Developer",
              "id": 80,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "python-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Scala Backend Developer",
              "id": 87,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "scala-backend-developer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Cloud Platforms \u0026 Managed Services",
            "id": 221,
            "rationale": "Operates and integrates vendor-specific cloud compute, storage, and hosting services.",
            "slug": "cloud-platforms-managed-services",
            "source": "db"
          },
          "input_skill": "Azure",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Fullstack Developer",
              "id": 15,
              "rationale": null,
              "role_archetype": null,
              "slug": "full-stack-engineer",
              "source": "db"
            },
            {
              "display_name": "Go Backend Developer",
              "id": 81,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "go-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Node.js Backend Developer",
              "id": 82,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "node-backend-developer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Cloud Platforms for AI Deployment",
            "id": 211,
            "rationale": "Major cloud services that provide infrastructure and managed services for AI workloads.",
            "slug": "cloud-platforms-for-ai-deployment",
            "source": "db"
          },
          "input_skill": "Azure",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "AI Engineer",
              "id": 13,
              "rationale": null,
              "role_archetype": null,
              "slug": "ai-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Cloud Provider Platforms",
            "id": 131,
            "rationale": "Major cloud platforms and their core service ecosystems used to design target-state architectures, choose deployment boundaries, and evaluate managed capabilities. This is the primary substrate for cloud architecture decisions.",
            "slug": "cloud-provider-platforms",
            "source": "db"
          },
          "input_skill": "Azure",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Architect",
              "id": 9,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-architect",
              "source": "db"
            },
            {
              "display_name": "Cloud Security Engineer",
              "id": 23,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-security-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Cloud Security Posture Tools",
            "id": 64,
            "rationale": "Cloud-native security platforms used to assess misconfiguration, workload exposure, and cloud control coverage. This dimension includes the major CNAPP/CSPM/CWPP vendors and cloud security services the role reviews and tunes.",
            "slug": "cloud-security-posture-tools",
            "source": "db"
          },
          "input_skill": "Azure",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Security Engineer",
              "id": 23,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-security-engineer",
              "source": "db"
            },
            {
              "display_name": "Cyber Security Engineer",
              "id": 5,
              "rationale": null,
              "role_archetype": null,
              "slug": "cybersecurity-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Vendor Product Families",
            "id": 477,
            "rationale": "Coordinate usage, licensing, and architecture decisions for major vendor software and cloud product families.",
            "slug": "vendor-product-families",
            "source": "db"
          },
          "input_skill": "Azure",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Engineering Manager",
              "id": 121,
              "rationale": null,
              "role_archetype": null,
              "slug": "engineering-manager",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Azure",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "LLMs",
          "alias_type": "CANONICAL",
          "id": 1829,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "LLMs",
        "id": 1193,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "llms",
        "sub_category_id": 903,
        "typical_lifespan": "EVERGREEN",
        "volatility": "EMERGING"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "React Frontend Development",
            "id": 96,
            "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
            "slug": "d_init_01",
            "source": "db"
          },
          "input_skill": "LLMs",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "LLMs",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Chatbot development",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Practices",
          "skill_nature": "PRACTICE",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "chatbot-development",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Conversational AI",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Concepts",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "conversational-ai",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Gemini",
    "E2B",
    "Chatbot development",
    "Conversational AI"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "LLM / GenAI Engineer",
    "id": 151,
    "rationale": "Domain=AI / ML; The JD centers on building AI agent workflows, integrating LLMs, and developing agent tools/orchestration, which best matches LLM/GenAI engineering.",
    "role_archetype": null,
    "slug": "llm-genai-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Python",
      "tag": "in_db"
    },
    {
      "skill": "FastAPI",
      "tag": "in_db"
    },
    {
      "skill": "LangChain",
      "tag": "in_db"
    },
    {
      "skill": "Gemini",
      "tag": "new"
    },
    {
      "skill": "REST",
      "tag": "in_db"
    },
    {
      "skill": "Docker",
      "tag": "in_db"
    },
    {
      "skill": "E2B",
      "tag": "new"
    },
    {
      "skill": "React",
      "tag": "in_db"
    },
    {
      "skill": "GCP",
      "tag": "in_db"
    },
    {
      "skill": "AWS",
      "tag": "in_db"
    },
    {
      "skill": "Azure",
      "tag": "in_db"
    },
    {
      "skill": "LLMs",
      "tag": "in_db"
    },
    {
      "skill": "Chatbot development",
      "tag": "new"
    },
    {
      "skill": "Conversational AI",
      "tag": "new"
    }
  ],
  "llm_cost_api1_usd": null,
  "llm_cost_api2_usd": null,
  "llm_cost_api3_usd": null,
  "llm_cost_total_usd": null,
  "persistence": {
    "items": [
      {
        "chosen_role_id": 151,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Security Scripting \u0026 DSL Languages",
          "id": 248,
          "rationale": "Proficiency in programming and domain-specific languages used to automate and script cloud security controls.",
          "slug": "cloud-security-scripting-dsl-languages",
          "source": "db"
        },
        "dimension_id": 248,
        "input_skill": "Python",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Cloud Security Engineer",
            "id": 23,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-security-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 151,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages",
          "id": 1,
          "rationale": "Primary implementation languages used to build client and server feature code. Full stack engineers need enough fluency to move across layers and implement product behavior end to end.",
          "slug": "programming-languages",
          "source": "db"
        },
        "dimension_id": 1,
        "input_skill": "Python",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Backend Developer",
            "id": 1,
            "rationale": null,
            "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
            "slug": "backend-engineer",
            "source": "db"
          },
          {
            "display_name": "Fullstack Developer",
            "id": 435,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "fullstack-developer",
            "source": "db"
          },
          {
            "display_name": "Fullstack Developer",
            "id": 15,
            "rationale": null,
            "role_archetype": null,
            "slug": "full-stack-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 151,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages \u0026 DSLs",
          "id": 475,
          "rationale": "Oversee and guide the selection and effective use of programming and domain\u2010specific languages in software projects.",
          "slug": "programming-languages-dsls",
          "source": "db"
        },
        "dimension_id": 475,
        "input_skill": "Python",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Engineering Manager",
            "id": 121,
            "rationale": null,
            "role_archetype": null,
            "slug": "engineering-manager",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 151,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages and Scripting",
          "id": 59,
          "rationale": "Languages used to write security automation, analysis scripts, detection logic, and remediation helpers. This is the primary implementation surface for a cybersecurity engineer across tooling and response workflows.",
          "slug": "programming-languages-and-scripting",
          "source": "db"
        },
        "dimension_id": 59,
        "input_skill": "Python",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Cyber Security Engineer",
            "id": 5,
            "rationale": null,
            "role_archetype": null,
            "slug": "cybersecurity-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 151,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages for Data Work",
          "id": 21,
          "rationale": "Languages used to implement data pipelines, transformations, and operational glue. This is the primary coding surface for building ingestion, enrichment, and automation logic in data engineering.",
          "slug": "programming-languages-for-data-work",
          "source": "db"
        },
        "dimension_id": 21,
        "input_skill": "Python",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Data Engineer",
            "id": 2,
            "rationale": null,
            "role_archetype": null,
            "slug": "data-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 151,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages for ML Systems",
          "id": 39,
          "rationale": "Languages used to build training code, inference services, evaluation jobs, and ML glue code. This is the primary implementation surface for ML engineers across experimentation and productionization.",
          "slug": "programming-languages-for-ml-systems",
          "source": "db"
        },
        "dimension_id": 39,
        "input_skill": "Python",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "ML Engineer",
            "id": 3,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-engineer",
            "source": "db"
          },
          {
            "display_name": "MLOps Engineer",
            "id": 16,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-ops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 151,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages for XR",
          "id": 97,
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