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Pipeline run

6fc0a9ec-6107-4a29-a768-1ba0b3ca2c18

Pipeline LLM cost (USD)
API 1: $0.0055 API 2: $0.0000 API 3: $0.0000 Total: $0.0055

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work
no_db_connection
Tech stack maturity
Mainstream Modern
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
1.70 / 5
· Title match
Has AI skill
AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
Frameworks (×2): LangChain, Bedrock, DSPy
Models / concepts (×3): Anthropic, OpenAI, RAG, vector search, hybrid search, LLM, prompt engineering, agentic, guardrails, AI, GenAI
Evidence — skills matched in JD (45)
Python FastAPI Django AWS Databricks Azure Terraform CloudFormation RAG Agentic Workflows Prompt Engineering OpenAI Anthropic AWS Bedrock LangChain DSPy Docker Kubernetes Unity Catalog Git Agile CI/CD API DevOps React +20
Skill cluster (0 dimension groups, role-scoped)
No dimension groups computed for this JD.
Show KRA description ↓
Take ownership of architecture design and development of scalable and distributed software systems. Translate business to technical requirements Own technical execution, ensuring code quality, adherence to deadlines, and efficient resource allocation Data driven decision making skills with focus on achieving product goals Design, develop and deploy LLM based pipelines involving patterns like RAG, Agentic workflows, Responsible for the complete software development lifecycle, including requirements analysis, design, coding, testing, and deployment. Utilize AWS services/ Azure services like IAM, Monitoring, Load Balancing, Autoscaling, Database, Networking, storage, ECR, AKS, ACR etc. Utilize Databricks capabilities, esp. Unity Catalog and be able to architect the governance layer from data all-the-way to the AI model output Design, develop and deploy prompt and response guardrails to enable responsible AI requirements Implement DevOps practices using tools like Docker, Kubernetes to ensure continuous integration and delivery. Develop DevOps scripts for automation and monitoring. Collaborate with cross-functional teams, conduct code reviews, and provide guidance on software design and best practices. Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent work experience). Strong coding skills with proficiency in Python Experience with API frameworks both stateless and stateful such as Fast API, Django Proficient in cloud platforms, specifically AWS, Databricks and Azure Proficient in Infra-as-Code, esp. focused on developing Terraform scripts and Cloudformation Knowledge and hands-on experience with front-end development (React JS, Next JS, Tailwind CSS) preferred Strong experience in LLM patterns like RAG, Vector DB, Hybrid Search, Agent development, Agentic workflows, prompt engineering, etc. Strong experience with LLM APIs (Open AI, Anthropic, AWS Bedrock), SDKs (Langchain, DSPy) Hands-on experience with DevOps tools including Docker, Kubernetes, and AWS services (Redshift, RDS, S3). Hands-on experience with Databricks solutions including Unity Catalog. Experience in production deployments involving thousands of users, esp with capabilities like Redis, Vector Search, etc. Strong understanding of scalable application design principles and experience with security best practices and compliance with privacy regulations. Good knowledge of software engineering practices like version control (GIT), DevOps (Azure DevOps preferred) and Agile or Scrum. Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Experience of SDLC and best practices while development Experience with Agile methodology for continuous product development and delivery

Signals

Skill devops-engineer
0.40
Alias ml-engineer
1.00
KRA ml-engineer
0.42
Status: extract_from_jd_done Created: 2026-05-20T16:53:20.899331Z Updated: 2026-05-20T16:53:21.244068Z
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

No chosen role stored for this run.

Job description

About the job
Below are details of open role for AI Engineer.

Experience: 3+ years

Budget: 1.2-1.3 LPM

Location: Onsite (Noida, Pune, Bangalore)

We are seeking an AI Engineer with 3+ experience in LLM/GenAI/Agentic solution development,. The ideal candidate will have strong experience working with Python, LLM solution patterns and tools (RAG, Vector DB, Agentic workflows, etc.) cloud platforms (AWS preferred, Databricks and Azure works as well), and DevOps tools. They will be responsible for designing and developing scalable LLM/Agentic solutions, architecture design, and ensuring the performance and reliability of our systems.

What They Will Do

 Take ownership of architecture design and development of scalable and distributed software systems.
 Translate business to technical requirements
 Own technical execution, ensuring code quality, adherence to deadlines, and efficient resource allocation
 Data driven decision making skills with focus on achieving product goals
 Design, develop and deploy LLM based pipelines involving patterns like RAG, Agentic workflows,
 Responsible for the complete software development lifecycle, including requirements analysis, design, coding, testing, and deployment.
 Utilize AWS services/ Azure services like IAM, Monitoring, Load Balancing, Autoscaling, Database, Networking, storage, ECR, AKS, ACR etc.
 Utilize Databricks capabilities, esp. Unity Catalog and be able to architect the governance layer from data all-the-way to the AI model output
 Design, develop and deploy prompt and response guardrails to enable responsible AI requirements
 Implement DevOps practices using tools like Docker, Kubernetes to ensure continuous integration and delivery. Develop DevOps scripts for automation and monitoring.
 Collaborate with cross-functional teams, conduct code reviews, and provide guidance on software design and best practices.

What They Will Bring

 Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent work experience).
 Strong coding skills with proficiency in Python
 Experience with API frameworks both stateless and stateful such as Fast API, Django
 Proficient in cloud platforms, specifically AWS, Databricks and Azure
 Proficient in Infra-as-Code, esp. focused on developing Terraform scripts and Cloudformation
 Knowledge and hands-on experience with front-end development (React JS, Next JS, Tailwind CSS) preferred
 Strong experience in LLM patterns like RAG, Vector DB, Hybrid Search, Agent development, Agentic workflows, prompt engineering, etc.
 Strong experience with LLM APIs (Open AI, Anthropic, AWS Bedrock), SDKs (Langchain, DSPy)
 Hands-on experience with DevOps tools including Docker, Kubernetes, and AWS services (Redshift, RDS, S3).
 Hands-on experience with Databricks solutions including Unity Catalog.
 Experience in production deployments involving thousands of users, esp with capabilities like Redis, Vector Search, etc.
 Strong understanding of scalable application design principles and experience with security best practices and compliance with privacy regulations.
 Good knowledge of software engineering practices like version control (GIT), DevOps (Azure DevOps preferred) and Agile or Scrum.
 Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
 Experience of SDLC and best practices while development
 Experience with Agile methodology for continuous product development and delivery

Skills: azure,devops,code,api,design

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 No API 2 row (run stopped after API 1 or history missing)
FastAPI Primary No API 2 row (run stopped after API 1 or history missing)
Django Primary No API 2 row (run stopped after API 1 or history missing)
AWS Primary No API 2 row (run stopped after API 1 or history missing)
Databricks Primary No API 2 row (run stopped after API 1 or history missing)
Azure Primary No API 2 row (run stopped after API 1 or history missing)
Terraform Primary No API 2 row (run stopped after API 1 or history missing)
CloudFormation Primary No API 2 row (run stopped after API 1 or history missing)
React Secondary No API 2 row (run stopped after API 1 or history missing)
Next.js Secondary No API 2 row (run stopped after API 1 or history missing)
Tailwind CSS Secondary No API 2 row (run stopped after API 1 or history missing)
RAG Primary No API 2 row (run stopped after API 1 or history missing)
Agentic Workflows Primary No API 2 row (run stopped after API 1 or history missing)
Prompt Engineering Primary No API 2 row (run stopped after API 1 or history missing)
OpenAI Primary No API 2 row (run stopped after API 1 or history missing)
Anthropic Primary No API 2 row (run stopped after API 1 or history missing)
AWS Bedrock Primary No API 2 row (run stopped after API 1 or history missing)
LangChain Primary No API 2 row (run stopped after API 1 or history missing)
DSPy Primary No API 2 row (run stopped after API 1 or history missing)
Docker Primary No API 2 row (run stopped after API 1 or history missing)
Kubernetes Primary No API 2 row (run stopped after API 1 or history missing)
Redshift Secondary No API 2 row (run stopped after API 1 or history missing)
RDS Secondary No API 2 row (run stopped after API 1 or history missing)
S3 Secondary No API 2 row (run stopped after API 1 or history missing)
Unity Catalog Primary No API 2 row (run stopped after API 1 or history missing)
Redis Secondary No API 2 row (run stopped after API 1 or history missing)
Vector Search Secondary No API 2 row (run stopped after API 1 or history missing)
Git Primary No API 2 row (run stopped after API 1 or history missing)
Azure DevOps Secondary No API 2 row (run stopped after API 1 or history missing)
Agile Primary No API 2 row (run stopped after API 1 or history missing)
Scrum Secondary No API 2 row (run stopped after API 1 or history missing)
CI/CD Primary No API 2 row (run stopped after API 1 or history missing)
API Primary No API 2 row (run stopped after API 1 or history missing)
Load Balancing Secondary No API 2 row (run stopped after API 1 or history missing)
Autoscaling Secondary No API 2 row (run stopped after API 1 or history missing)
Monitoring Secondary No API 2 row (run stopped after API 1 or history missing)
IAM Secondary No API 2 row (run stopped after API 1 or history missing)
ECR Secondary No API 2 row (run stopped after API 1 or history missing)
AKS Secondary No API 2 row (run stopped after API 1 or history missing)
ACR Secondary No API 2 row (run stopped after API 1 or history missing)
Vector DB Secondary No API 2 row (run stopped after API 1 or history missing)
Hybrid Search Secondary No API 2 row (run stopped after API 1 or history missing)
Agent Development Secondary No API 2 row (run stopped after API 1 or history missing)
DevOps Primary No API 2 row (run stopped after API 1 or history missing)
SDLC Secondary No API 2 row (run stopped after API 1 or history missing)

Library artifacts (this run)

No artifact rows for this run.
nano JD Parser — gpt-4.1-nano click to toggle
RoleAI Engineer
Experience3+ years
CTC{'max': 1.3, 'min': 1.2, 'raw': '1.2-1.3 LPM', 'period': 'monthly', 'currency': 'INR'}
DomainIT Services & Consulting
Location Noida, India (onsite)
JD type pass
Show raw JSON
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      "word_count": 284
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  "urls": []
}
API 1 — extract-from-jd click to toggle
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        "display_name": "ML Ops Engineer",
        "matched_count": 12,
        "role_id": 16,
        "score": 0.2667,
        "slug": "ml-ops-engineer",
        "total_count": 45
      }
    ]
  },
  "stage4_decision": null,
  "stage5_updates": null
}
API 2 — extract-details
{}
API 3 — final-role-output
{}

LLM Calls

Every model call made for this run, in pipeline order. Click a card to see the model's response.

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