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Pipeline run

6495243a-be80-43b4-885f-d1e0efde8b3a

Pipeline LLM cost (USD)
API 1: $0.0070 API 2: $0.0001 API 3: $0.0000 Total: $0.0072

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
SPARSE JD sources · ai_index: jd · nature_of_work: jd · tech_stack_maturity: jd
Nature of work · software development
Develop and maintain Python/SQL/Bash code, integrate via REST APIs, test/debug for accuracy, and collaborate with dev/product/external teams to improve functionality in data-driven apps. Also work with data joins/analysis and basic front-end support.
"Develop maintainable and clean code using Python, SQL, and Bash"
Tech stack maturity
Mainstream Modern
The skill mix of bash, Python, REST, and SQL is characteristic of a contemporary, widely used ML engineering stack rather than legacy or bleeding-edge infrastructure.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
2.00 / 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):
Models / concepts (×3): Machine Learning, Artificial Intelligence
Evidence — skills matched in JD (9)
Python SQL Bash REST Data Science Machine Learning Artificial Intelligence JavaScript CSS
Skill cluster (6 dimension groups, role-scoped)
AI Governance and Model Security
Machine Learning
API Interface and Contract Design
REST
JavaScript and TypeScript
JavaScript
Programming Languages for ML Systems
Python
Styling and Responsive Layout
CSS
Cross-cutting / unaligned
SQL Bash Data Science Artificial Intelligence
Show KRA description ↓
• Develop maintainable and clean code using Python, SQL, and Bash • Should have experience with Data Science, Machine Learning, and Artificial Intelligence. • Integration with other applications using REST API • Test and debug applications to ensure accuracy • Improve the functionality • Implement non-functional requirements as necessary • Coordinate with other dev and product teams as well as external teams • 3-5 years of work experience in Software Development • Hands-on work experience as a Python developer • Understanding of SQL, data joins, merging, and data analysis • Familiarity with front-end (JavaScript, CSS) • Good grasping and problem-solving skills • Exposure to large-scale data-driven apps and concepts • Can-do attitude and good team spirit • Knowledge or work experience in Banking or Financial Services would be a plus

Signals

Skill data-engineer
0.75
Alias
KRA flutter-developer
0.59

Post-classification

Centroidupdated · n=23
Alias collision log
New-role queue
New skills captured1
New KRA capturedyes

Captured for admin review

Data Science ML Engineer pending
R&R fragment (sim 0.00) ML Engineer pending

• Develop maintainable and clean code using Python, SQL, and Bash • Should have experience with Data Science, Machine Learning, and Artificial Intelligence. • Integration with other applications using…

Status: completed Created: 2026-05-27T14:44:04.745817Z Updated: 2026-06-12T17:18:19.974034Z API 3 duration: 39218 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

ML Engineer

domain · AI / ML CASE DOMAIN

slug: ml-engineer · id: 3 · source: db

Domain=AI / ML; The JD is for a Python-based software developer with explicit Data Science, Machine Learning, and AI work, plus REST API integration and data analysis, which best matches an ML Engineer rather than a pure data scientist or MLOps role.

Matched skills

PythonSQLBashData ScienceMachine LearningArtificial IntelligenceREST APIJavaScriptCSSdata joinsmergingdata analysis

Matched dimensions

Python software developmentML/AI application developmentAPI integrationData analysis and data manipulationApplication testing and debuggingCross-team coordination

Matched KRAs

Develop maintainable and clean code using Python, SQL, and BashIntegrate with other applications using REST APITest and debug applications to ensure accuracyImprove the functionalityImplement non-functional requirements as necessaryCoordinate with other dev and product teams

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

Responsibilities:
• Develop maintainable and clean code using Python, SQL, and Bash
• Should have experience with Data Science, Machine Learning, and Artificial Intelligence.
• Integration with other applications using REST API
• Test and debug applications to ensure accuracy
• Improve the functionality
• Implement non-functional requirements as necessary
• Coordinate with other dev and product teams as well as external teams


Qualifications:


• 3-5 years of work experience in Software Development
• Hands-on work experience as a Python developer
• Understanding of SQL, data joins, merging, and data analysis
• Familiarity with front-end (JavaScript, CSS)
• Good grasping and problem-solving skills
• Exposure to large-scale data-driven apps and concepts
• Can-do attitude and good team spirit
• Knowledge or work experience in Banking or Financial Services would be a plus

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 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 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 saved
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)
SQL Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: SQL id=101 · sql

Aliases — catalog

  • SQL (CANONICAL) primary

Context tags (catalog)

ACID CTE DDL DML ETL JOIN MySQL NoSQL OLAP ORM PostgreSQL SQL injection SQLite T-SQL data modeling data warehousing database normalization execution plan indexing joins normalization query optimization stored procedures subquery transaction isolation transaction management window functions

Stored enrichment (catalog DB)

Category
Language
Sub-category
Query Language
Vendor
ANSI
License
unknown
Year introduced
1974
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: SQL appears in a large share of data, backend, and analytics job descriptions and remains the default query language for PostgreSQL, MySQL, and cloud warehouses like Snowflake/BigQuery.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
6
Sub-category id
97
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Pega Programming Languages & DSLs Catalog dimension db id 267

    Library dimension (catalog)

    Roles linked in library: Pega Developer

  • Programming Languages for Data Work Catalog dimension db id 21

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Pega Programming Languages & DSLs
pega-programming-languages-dsls
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)
Bash Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Bash id=103 · bash

Aliases — catalog

  • Bash (VERSION)
  • Bash 3.x (VERSION)
  • Bash 4.x (VERSION)
  • Bash 5.x (VERSION)
  • GNU Bash (VERSION)
  • bash (VERSION)
  • bash 3 (VERSION)
  • bash 3.x (VERSION)
  • bash 4 (VERSION)
  • bash 4.x (VERSION)
  • bash 5 (VERSION)
  • bash 5.x (VERSION)

Context tags (catalog)

Linux POSIX Unix alias awk chmod cron environment variables grep here-doc pipes sed shebang shell scripting ssh stdin stdout xargs

Stored enrichment (catalog DB)

Category
Language
Sub-category
Shell Language
Vendor
GNU Project
License
gpl_v3
Year introduced
1989
Confidence
0.99
Version strategy
SEPARATE_ENTITY
Version tag
5.x

Maturity reasoning: Bash appears in many DevOps, SRE, and Linux admin job descriptions and remains the default shell on most Unix-like systems, with no vendor sunset or clear replacement in mainstream hiring.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
6
Sub-category id
238
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • 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

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
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)
Data Science 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
Machine Learning Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Machine Learning id=1356 · machine-learning

Aliases — catalog

  • Machine Learning (CANONICAL)

Context tags (catalog)

Keras PyTorch TensorFlow cross-validation data preprocessing ensemble methods feature engineering hyperparameter tuning model evaluation natural language processing neural networks reinforcement learning scikit-learn supervised learning unsupervised learning

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Machine Learning
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Machine Learning appears in large volumes of job descriptions across data, product, and platform roles, and major cloud vendors (AWS, Google Cloud, Azure) offer dedicated ML services and certifications, indicating broad adoption.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1024
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • AI Governance and Model Security Catalog dimension db id 50

    Library dimension (catalog)

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

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
AI Governance and Model Security
ai-governance-and-model-security
Existing dimension (library) · Role↔dimension saved
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Artificial Intelligence Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Artificial Intelligence id=1357 · artificial-intelligence

Aliases — catalog

  • Artificial Intelligence (CANONICAL)

Context tags (catalog)

AI ethics PyTorch TensorFlow algorithm optimization computer vision data mining deep learning machine learning model training natural language processing neural networks predictive analytics reinforcement learning supervised learning unsupervised learning

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Artificial Intelligence
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: AI appears in a large and growing share of job descriptions across software, data, and product roles, and major vendors (Microsoft, Google, AWS) have standardized AI offerings, signaling broad market adoption.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1020
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)
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

  • 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: 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)
JavaScript Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: JavaScript id=607 · javascript

Aliases — catalog

  • JavaScript (CANONICAL) primary
  • ES2015 (VERSION)
  • ES2016 (VERSION)
  • ES2017 (VERSION)
  • ES2018 (VERSION)
  • ES2019 (VERSION)
  • ES2020 (VERSION)
  • ES2021 (VERSION)
  • ES2022 (VERSION)
  • ES2023 (VERSION)
  • ES2024 (VERSION)
  • ES5 (VERSION)
  • ES6 (VERSION)
  • JavaScript ES2015 (VERSION)
  • JavaScript ES2020 (VERSION)
  • JavaScript ES6 (VERSION)
  • modern JavaScript (VERSION)

Context tags (catalog)

AJAX Angular Babel DOM DOM manipulation ES6 Express JSON Node.js REST RESTful React TypeScript Vue Vue.js Webpack async/await asynchronous callback callback functions closure event-driven jQuery npm promises

Stored enrichment (catalog DB)

Category
Language
Sub-category
Programming Language
Vendor
Mozilla
License
mpl
Year introduced
1995
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: JavaScript appears in a very high volume of job postings across frontend, backend, and full-stack roles, and remains a core language in major ecosystems like Node.js and React.

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)

  • Cross-Platform App Languages Catalog dimension db id 167

    Library dimension (catalog)

    Roles linked in library: Hybrid Mobile Developer

  • JavaScript and TypeScript Catalog dimension db id 114

    Library dimension (catalog)

    Roles linked in library: Angular Frontend Developer, Frontend Developer, Ionic Developer, Node.js Backend Developer, React Frontend Developer, React Native Developer, Svelte Frontend Developer, Vue Frontend Developer, Web Developer

  • JavaScript for WordPress Catalog dimension db id 329

    Library dimension (catalog)

    Roles linked in library: WordPress Dev

  • Pega Programming Languages & DSLs Catalog dimension db id 267

    Library dimension (catalog)

    Roles linked in library: Pega Developer

  • Programming Languages Catalog dimension db id 1

    Library dimension (catalog)

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

  • Programming Languages & Template Languages Catalog dimension db id 359

    Library dimension (catalog)

    Roles linked in library: Drupal Dev

  • Sitecore Development Languages Catalog dimension db id 438

    Library dimension (catalog)

    Roles linked in library: Sitecore Dev

  • Storefront JavaScript and DOM Behavior Catalog dimension db id 422

    Library dimension (catalog)

    Roles linked in library: Shopify Dev

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cross-Platform App Languages
cross-platform-app-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript and TypeScript
javascript-and-typescript
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)
Pega Programming Languages & DSLs
pega-programming-languages-dsls
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 & Template Languages
programming-languages-template-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Sitecore Development Languages
sitecore-development-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Storefront JavaScript and DOM Behavior
storefront-javascript-and-dom-behavior
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CSS Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: CSS id=623 · css

Aliases — catalog

  • CSS (CANONICAL) primary

Context tags (catalog)

Animations BEM Bootstrap Box Model CSS Modules CSS Variables Flexbox Frameworks Grid LESS Less Media Queries Positioning PostCSS Preprocessors Pseudo-classes Responsive Design SCSS SMACSS Sass Selectors Styling Tailwind CSS Transitions Z-index animation media queries pseudo-elements responsive design styled-components

Stored enrichment (catalog DB)

Category
Language
Sub-category
Stylesheet Language
Vendor
W3C
License
unknown
Year introduced
1996
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: CSS is a core front-end skill in most web JDs and remains standard in MDN/browser docs; it’s broadly used alongside HTML/JS rather than being replaced by a successor.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
6
Sub-category id
486
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • CSS Architecture and Styling Catalog dimension db id 117

    Library dimension (catalog)

    Roles linked in library: Frontend Developer, Fullstack Developer, Fullstack Developer, React Frontend Developer, Svelte Frontend Developer, Vue Frontend Developer, Web Developer

  • Programming Languages & Template Languages Catalog dimension db id 359

    Library dimension (catalog)

    Roles linked in library: Drupal Dev

  • Sitecore Development Languages Catalog dimension db id 438

    Library dimension (catalog)

    Roles linked in library: Sitecore Dev

  • Storefront Styling and Responsive Layout Catalog dimension db id 423

    Library dimension (catalog)

    Roles linked in library: Shopify Dev

  • Styling and Responsive Layout Catalog dimension db id 307

    Library dimension (catalog)

    Roles linked in library: Angular Frontend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
CSS Architecture and Styling
css-architecture-and-styling
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages & Template Languages
programming-languages-template-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Sitecore Development Languages
sitecore-development-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Storefront Styling and Responsive Layout
storefront-styling-and-responsive-layout
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Styling and Responsive Layout
styling-and-responsive-layout
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

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 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 saved
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)
SQL in_db
Pega Programming Languages & DSLs
pega-programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
SQL in_db
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Bash in_db
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Bash in_db
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Machine Learning in_db
AI Governance and Model Security
ai-governance-and-model-security
Existing dimension (library) · Role↔dimension saved
Machine Learning in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Artificial Intelligence in_db
React Frontend Development
d_init_01
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)
JavaScript in_db
Cross-Platform App Languages
cross-platform-app-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript in_db
JavaScript and TypeScript
javascript-and-typescript
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript in_db
JavaScript for WordPress
javascript-for-wordpress
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript in_db
Pega Programming Languages & DSLs
pega-programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript in_db
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript in_db
Programming Languages & Template Languages
programming-languages-template-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript in_db
Sitecore Development Languages
sitecore-development-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript in_db
Storefront JavaScript and DOM Behavior
storefront-javascript-and-dom-behavior
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CSS in_db
CSS Architecture and Styling
css-architecture-and-styling
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CSS in_db
Programming Languages & Template Languages
programming-languages-template-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CSS in_db
Sitecore Development Languages
sitecore-development-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CSS in_db
Storefront Styling and Responsive Layout
storefront-styling-and-responsive-layout
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CSS in_db
Styling and Responsive Layout
styling-and-responsive-layout
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Data Science | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
nano JD Parser — gpt-4.1-nano click to toggle
Experience3-5 years of work experience in Software Development
DomainOther
JD type pass
Show raw JSON
{
  "JD_type": "pass",
  "about_company": null,
  "certifications": [],
  "company_name": null,
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [],
      "domain": "Other"
    },
    "secondary": null
  },
  "education": [],
  "experience": {
    "max": 5,
    "min": 3,
    "raw": "3-5 years of work experience in Software Development"
  },
  "job_locations": [],
  "role": null,
  "role_aliases": [],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 7,
      "heading": "Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Develop maintainable and clean",
        "last_5_words": "as well as external teams"
      },
      "text": "\u2022 Develop maintainable and clean code using Python, SQL, and Bash\n\u2022 Should have experience with Data Science, Machine Learning, and Artificial Intelligence.\n\u2022 Integration with other applications using REST API\n\u2022 Test and debug applications to ensure accuracy\n\u2022 Improve the functionality\n\u2022 Implement non-functional requirements as necessary\n\u2022 Coordinate with other dev and product teams as well as external teams",
      "word_count": 56
    },
    {
      "bullet_count": 8,
      "heading": "Qualifications",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 3-5 years of work experience",
        "last_5_words": "would be a plus"
      },
      "text": "\u2022 3-5 years of work experience in Software Development\n\u2022 Hands-on work experience as a Python developer\n\u2022 Understanding of SQL, data joins, merging, and data analysis\n\u2022 Familiarity with front-end (JavaScript, CSS)\n\u2022 Good grasping and problem-solving skills\n\u2022 Exposure to large-scale data-driven apps and concepts\n\u2022 Can-do attitude and good team spirit\n\u2022 Knowledge or work experience in Banking or Financial Services would be a plus",
      "word_count": 76
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Python"
    },
    {
      "is_primary": true,
      "skill_name": "SQL"
    },
    {
      "is_primary": true,
      "skill_name": "Bash"
    },
    {
      "is_primary": false,
      "skill_name": "Data Science"
    },
    {
      "is_primary": false,
      "skill_name": "Machine Learning"
    },
    {
      "is_primary": false,
      "skill_name": "Artificial Intelligence"
    },
    {
      "is_primary": true,
      "skill_name": "REST"
    },
    {
      "is_primary": false,
      "skill_name": "JavaScript"
    },
    {
      "is_primary": false,
      "skill_name": "CSS"
    }
  ],
  "jd_role": null,
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": null,
    "certifications": [],
    "company_name": null,
    "ctc": null,
    "domain": {
      "primary": {
        "aliases": [],
        "domain": "Other"
      },
      "secondary": null
    },
    "education": [],
    "experience": {
      "max": 5,
      "min": 3,
      "raw": "3-5 years of work experience in Software Development"
    },
    "job_locations": [],
    "role": null,
    "role_aliases": [],
    "role_archetype": "Engineering",
    "roles_and_responsibilities": [
      {
        "bullet_count": 7,
        "heading": "Responsibilities",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Develop maintainable and clean",
          "last_5_words": "as well as external teams"
        },
        "text": "\u2022 Develop maintainable and clean code using Python, SQL, and Bash\n\u2022 Should have experience with Data Science, Machine Learning, and Artificial Intelligence.\n\u2022 Integration with other applications using REST API\n\u2022 Test and debug applications to ensure accuracy\n\u2022 Improve the functionality\n\u2022 Implement non-functional requirements as necessary\n\u2022 Coordinate with other dev and product teams as well as external teams",
        "word_count": 56
      },
      {
        "bullet_count": 8,
        "heading": "Qualifications",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 3-5 years of work experience",
          "last_5_words": "would be a plus"
        },
        "text": "\u2022 3-5 years of work experience in Software Development\n\u2022 Hands-on work experience as a Python developer\n\u2022 Understanding of SQL, data joins, merging, and data analysis\n\u2022 Familiarity with front-end (JavaScript, CSS)\n\u2022 Good grasping and problem-solving skills\n\u2022 Exposure to large-scale data-driven apps and concepts\n\u2022 Can-do attitude and good team spirit\n\u2022 Knowledge or work experience in Banking or Financial Services would be a plus",
        "word_count": 76
      }
    ],
    "urls": []
  },
  "rejected": false,
  "rejection_reason": null,
  "run_id": "6495243a-be80-43b4-885f-d1e0efde8b3a",
  "stage3_signals": {
    "alias_found": false,
    "alias_match_roles": [],
    "kra_match_roles": [
      {
        "display_name": "Flutter Developer",
        "kra_matches": [
          {
            "kra_text": "collaborate with design, product, and backend teams",
            "sentence": "Coordinate with other dev and product teams as well as external teams",
            "similarity": 0.7041
          },
          {
            "kra_text": "integrate external APIs and data sources",
            "sentence": "Integration with other applications using REST API",
            "similarity": 0.599
          },
          {
            "kra_text": "translate product and design requirements",
            "sentence": "Implement non-functional requirements as necessary",
            "similarity": 0.4587
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 74,
        "score": 0.5873,
        "slug": "flutter-developer",
        "total_count": null
      },
      {
        "display_name": "Angular Frontend Developer",
        "kra_matches": [
          {
            "kra_text": "collaboration with design and QA",
            "sentence": "Coordinate with other dev and product teams as well as external teams",
            "similarity": 0.546
          },
          {
            "kra_text": "backend endpoint integration",
            "sentence": "Integration with other applications using REST API",
            "similarity": 0.5346
          },
          {
            "kra_text": "code review and refactoring",
            "sentence": "Develop maintainable and clean code using Python, SQL, and Bash",
            "similarity": 0.4494
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 90,
        "score": 0.51,
        "slug": "angular-frontend-developer",
        "total_count": null
      },
      {
        "display_name": "Python Backend Developer",
        "kra_matches": [
          {
            "kra_text": "Build service and external integrations",
            "sentence": "Integration with other applications using REST API",
            "similarity": 0.5345
          },
          {
            "kra_text": "Troubleshoot server-side defects",
            "sentence": "Test and debug applications to ensure accuracy",
            "similarity": 0.5006
          },
          {
            "kra_text": "Refactor existing Python backend code",
            "sentence": "Develop maintainable and clean code using Python, SQL, and Bash",
            "similarity": 0.491
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 80,
        "score": 0.5087,
        "slug": "python-backend-developer",
        "total_count": null
      },
      {
        "display_name": "React Native Developer",
        "kra_matches": [
          {
            "kra_text": "integrate backend APIs",
            "sentence": "Integration with other applications using REST API",
            "similarity": 0.5904
          },
          {
            "kra_text": "maintain code quality",
            "sentence": "Develop maintainable and clean code using Python, SQL, and Bash",
            "similarity": 0.4918
          },
          {
            "kra_text": "maintain code quality",
            "sentence": "Implement non-functional requirements as necessary",
            "similarity": 0.4281
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 73,
        "score": 0.5034,
        "slug": "react-native-developer",
        "total_count": null
      },
      {
        "display_name": ".NET Backend Developer",
        "kra_matches": [
          {
            "kra_text": "internal and third-party system integration",
            "sentence": "Integration with other applications using REST API",
            "similarity": 0.5245
          },
          {
            "kra_text": "validation and error handling",
            "sentence": "Test and debug applications to ensure accuracy",
            "similarity": 0.5148
          },
          {
            "kra_text": "backend code refactoring and maintenance",
            "sentence": "Develop maintainable and clean code using Python, SQL, and Bash",
            "similarity": 0.4567
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 83,
        "score": 0.4987,
        "slug": "dotnet-backend-developer",
        "total_count": null
      }
    ],
    "skill_match_roles": [
      {
        "display_name": "Data Engineer",
        "kra_matches": null,
        "matched_count": 3,
        "matched_skills": [
          "Bash",
          "Python",
          "SQL"
        ],
        "role_id": 2,
        "score": 0.75,
        "slug": "data-engineer",
        "total_count": 4
      },
      {
        "display_name": "Fullstack Developer",
        "kra_matches": null,
        "matched_count": 2,
        "matched_skills": [
          "Python",
          "REST"
        ],
        "role_id": 15,
        "score": 0.5,
        "slug": "full-stack-engineer",
        "total_count": 4
      },
      {
        "display_name": "Backend Developer",
        "kra_matches": null,
        "matched_count": 2,
        "matched_skills": [
          "Python",
          "REST"
        ],
        "role_id": 1,
        "score": 0.5,
        "slug": "backend-engineer",
        "total_count": 4
      },
      {
        "display_name": "Cyber Security Engineer",
        "kra_matches": null,
        "matched_count": 2,
        "matched_skills": [
          "Bash",
          "Python"
        ],
        "role_id": 5,
        "score": 0.5,
        "slug": "cybersecurity-engineer",
        "total_count": 4
      },
      {
        "display_name": "Pega Developer",
        "kra_matches": null,
        "matched_count": 2,
        "matched_skills": [
          "REST",
          "SQL"
        ],
        "role_id": 24,
        "score": 0.5,
        "slug": "pega-developer",
        "total_count": 4
      }
    ]
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "DOMAIN",
    "chosen_role": {
      "display_name": "ML Engineer",
      "kra_matches": null,
      "matched_count": null,
      "matched_skills": null,
      "role_id": 3,
      "score": 0.79,
      "slug": "ml-engineer",
      "total_count": null
    },
    "confidence": 0.79,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "matched_dimensions": [
      "Python software development",
      "ML/AI application development",
      "API integration",
      "Data analysis and data manipulation",
      "Application testing and debugging",
      "Cross-team coordination"
    ],
    "matched_kras": [
      "Develop maintainable and clean code using Python, SQL, and Bash",
      "Integrate with other applications using REST API",
      "Test and debug applications to ensure accuracy",
      "Improve the functionality",
      "Implement non-functional requirements as necessary",
      "Coordinate with other dev and product teams"
    ],
    "matched_skills": [
      "Python",
      "SQL",
      "Bash",
      "Data Science",
      "Machine Learning",
      "Artificial Intelligence",
      "REST API",
      "JavaScript",
      "CSS",
      "data joins",
      "merging",
      "data analysis"
    ],
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Domain=AI / ML; The JD is for a Python-based software developer with explicit Data Science, Machine Learning, and AI work, plus REST API integration and data analysis, which best matches an ML Engineer rather than a pure data scientist or MLOps role.",
    "sub_role": null
  },
  "stage5_updates": {
    "centroid_n_after": 23,
    "centroid_updated": true,
    "collision_log_id": null,
    "new_kra_attached": {
      "best_kra_similarity": 0.0,
      "queue_id": 688,
      "r_and_r_preview": "\u2022 Develop maintainable and clean code using Python, SQL, and Bash\n\u2022 Should have experience with Data Science, Machine Learning, and Artificial Intelligence.\n\u2022 Integration with other applications using",
      "role_display_name": "ML Engineer",
      "role_slug": "ml-engineer",
      "status": "pending"
    },
    "new_skills_attached": [
      {
        "is_primary": false,
        "queue_id": 10668,
        "role_display_name": "ML Engineer",
        "role_slug": "ml-engineer",
        "skill_name": "Data Science",
        "status": "pending"
      }
    ],
    "queue_entry_id": null,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
  }
}
API 2 — extract-details
{
  "alias_matches": [
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 67,
      "existing_alias_text": "Python",
      "input_term": "Python",
      "matched_canonical": {
        "category_id": 6,
        "display_name": "Python",
        "id": 5,
        "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": 271,
      "existing_alias_text": "SQL",
      "input_term": "SQL",
      "matched_canonical": {
        "category_id": 6,
        "display_name": "SQL",
        "id": 101,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
        "slug": "sql",
        "sub_category_id": 97,
        "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": 273,
      "existing_alias_text": "Bash",
      "input_term": "Bash",
      "matched_canonical": {
        "category_id": 6,
        "display_name": "Bash",
        "id": 103,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
        "slug": "bash",
        "sub_category_id": 238,
        "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": 2015,
      "existing_alias_text": "Machine Learning",
      "input_term": "Machine Learning",
      "matched_canonical": {
        "category_id": 2,
        "display_name": "Machine Learning",
        "id": 1356,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "machine-learning",
        "sub_category_id": 1024,
        "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": 2016,
      "existing_alias_text": "Artificial Intelligence",
      "input_term": "Artificial Intelligence",
      "matched_canonical": {
        "category_id": 2,
        "display_name": "Artificial Intelligence",
        "id": 1357,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "artificial-intelligence",
        "sub_category_id": 1020,
        "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": 106,
      "existing_alias_text": "REST",
      "input_term": "REST",
      "matched_canonical": {
        "category_id": 2,
        "display_name": "REST",
        "id": 11,
        "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": 1028,
      "existing_alias_text": "JavaScript",
      "input_term": "JavaScript",
      "matched_canonical": {
        "category_id": 6,
        "display_name": "JavaScript",
        "id": 607,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
        "slug": "javascript",
        "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": 1107,
      "existing_alias_text": "CSS",
      "input_term": "CSS",
      "matched_canonical": {
        "category_id": 6,
        "display_name": "CSS",
        "id": 623,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
        "slug": "css",
        "sub_category_id": 486,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    }
  ],
  "candidate_roles": [
    {
      "display_name": "Cloud Security Engineer",
      "id": 23,
      "rationale": null,
      "role_archetype": null,
      "slug": "cloud-security-engineer",
      "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": "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"
    },
    {
      "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": "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": "AR/VR Engineer",
      "id": 8,
      "rationale": null,
      "role_archetype": null,
      "slug": "ar-vr-engineer",
      "source": "db"
    },
    {
      "display_name": "Python Backend Developer",
      "id": 80,
      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "python-backend-developer",
      "source": "db"
    },
    {
      "display_name": "Pega Developer",
      "id": 24,
      "rationale": null,
      "role_archetype": null,
      "slug": "pega-developer",
      "source": "db"
    },
    {
      "display_name": "AI Engineer",
      "id": 13,
      "rationale": null,
      "role_archetype": null,
      "slug": "ai-engineer",
      "source": "db"
    },
    {
      "display_name": ".NET Backend Developer",
      "id": 83,
      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "dotnet-backend-developer",
      "source": "db"
    },
    {
      "display_name": "Go Backend Developer",
      "id": 81,
      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "go-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": "Node.js Backend Developer",
      "id": 82,
      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "node-backend-developer",
      "source": "db"
    },
    {
      "display_name": "PHP Backend Developer",
      "id": 86,
      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "php-backend-developer",
      "source": "db"
    },
    {
      "display_name": "Ruby Backend Developer",
      "id": 85,
      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "ruby-backend-developer",
      "source": "db"
    },
    {
      "display_name": "Scala Backend Developer",
      "id": 87,
      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "scala-backend-developer",
      "source": "db"
    },
    {
      "display_name": "Sitecore Dev",
      "id": 233,
      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "sitecore-dev",
      "source": "db"
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            {
              "display_name": "Fullstack Developer",
              "id": 15,
              "rationale": null,
              "role_archetype": null,
              "slug": "full-stack-engineer",
              "source": "db"
            },
            {
              "display_name": "React Frontend Developer",
              "id": 89,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "react-frontend-developer",
              "source": "db"
            },
            {
              "display_name": "Svelte Frontend Developer",
              "id": 92,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "svelte-frontend-developer",
              "source": "db"
            },
            {
              "display_name": "Vue Frontend Developer",
              "id": 91,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "vue-frontend-developer",
              "source": "db"
            },
            {
              "display_name": "Web Developer",
              "id": 25,
              "rationale": null,
              "role_archetype": null,
              "slug": "web-developer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Programming Languages \u0026 Template Languages",
            "id": 359,
            "rationale": "The languages and domain-specific templating languages used for Drupal development and theming.",
            "slug": "programming-languages-template-languages",
            "source": "db"
          },
          "input_skill": "CSS",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Drupal Dev",
              "id": 228,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "drupal-dev",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Sitecore Development Languages",
            "id": 438,
            "rationale": "Core implementation languages and markup used to build Sitecore customizations, rendering logic, and site behavior. This is the primary authoring surface for Sitecore-specific code and templates.",
            "slug": "sitecore-development-languages",
            "source": "db"
          },
          "input_skill": "CSS",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Sitecore Dev",
              "id": 233,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "sitecore-dev",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Storefront Styling and Responsive Layout",
            "id": 423,
            "rationale": "Visual presentation work for Shopify storefronts, including layout, spacing, typography, and responsive behavior. This is a coherent cluster because theme developers must translate commerce designs into usable storefront pages.",
            "slug": "storefront-styling-and-responsive-layout",
            "source": "db"
          },
          "input_skill": "CSS",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Shopify Dev",
              "id": 230,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "shopify-dev",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Styling and Responsive Layout",
            "id": 307,
            "rationale": "Visual presentation techniques used to translate design requirements into usable Angular interfaces. This includes layout, theming, spacing, and responsive behavior across screen sizes.",
            "slug": "styling-and-responsive-layout",
            "source": "db"
          },
          "input_skill": "CSS",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Angular Frontend Developer",
              "id": 90,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "angular-frontend-developer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "CSS",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Data Science"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "ML Engineer",
    "id": 3,
    "rationale": "Domain=AI / ML; The JD is for a Python-based software developer with explicit Data Science, Machine Learning, and AI work, plus REST API integration and data analysis, which best matches an ML Engineer rather than a pure data scientist or MLOps role.",
    "role_archetype": null,
    "slug": "ml-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Python",
      "tag": "in_db"
    },
    {
      "skill": "SQL",
      "tag": "in_db"
    },
    {
      "skill": "Bash",
      "tag": "in_db"
    },
    {
      "skill": "Data Science",
      "tag": "new"
    },
    {
      "skill": "Machine Learning",
      "tag": "in_db"
    },
    {
      "skill": "Artificial Intelligence",
      "tag": "in_db"
    },
    {
      "skill": "REST",
      "tag": "in_db"
    },
    {
      "skill": "JavaScript",
      "tag": "in_db"
    },
    {
      "skill": "CSS",
      "tag": "in_db"
    }
  ],
  "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": 3,
        "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": 3,
        "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": 3,
        "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": 3,
        "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": 3,
        "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": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "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": 3,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages for XR",
          "id": 97,
          "rationale": "Primary implementation languages used to build immersive client features, interaction logic, and device-specific runtime behavior. This is the core coding surface for AR/VR experiences.",
          "slug": "programming-languages-for-xr",
          "source": "db"
        },
        "dimension_id": 97,
        "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": "AR/VR Engineer",
            "id": 8,
            "rationale": null,
            "role_archetype": null,
            "slug": "ar-vr-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 3,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Python Programming",
          "id": 290,
          "rationale": "Core Python language skills used to implement backend business logic, request handlers, integrations, and service internals. This is the primary coding surface for the role.",
          "slug": "python-programming",
          "source": "db"
        },
        "dimension_id": 290,
        "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": "Python Backend Developer",
            "id": 80,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "python-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 3,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Pega Programming Languages \u0026 DSLs",
          "id": 267,
          "rationale": "Programming languages and domain-specific languages used in Pega development.",
          "slug": "pega-programming-languages-dsls",
          "source": "db"
        },
        "dimension_id": 267,
        "input_skill": "SQL",
        "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": "Pega Developer",
            "id": 24,
            "rationale": null,
            "role_archetype": null,
            "slug": "pega-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 101,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 3,
        "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": "SQL",
        "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": 101,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 3,
        "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": "Bash",
        "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": 103,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 3,
        "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": "Bash",
        "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": 103,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 3,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "AI Governance and Model Security",
          "id": 50,
          "rationale": "Controls and documentation used to make models safer, auditable, and compliant. ML engineers use this to manage model risk, supply chain integrity, and governance requirements.",
          "slug": "ai-governance-and-model-security",
          "source": "db"
        },
        "dimension_id": 50,
        "input_skill": "Machine Learning",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
          {
            "display_name": "AI Engineer",
            "id": 13,
            "rationale": null,
            "role_archetype": null,
            "slug": "ai-engineer",
            "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"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1356,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 3,
        "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"
        },
        "dimension_id": 96,
        "input_skill": "Machine Learning",
        "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": [],
        "skill_dimension_saved": true,
        "skill_id": 1356,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 3,
        "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"
        },
        "dimension_id": 96,
        "input_skill": "Artificial Intelligence",
        "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": [],
        "skill_dimension_saved": true,
        "skill_id": 1357,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 3,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "API Design and Contracts",
          "id": 3,
          "rationale": "Designing request/response shapes and the rules that govern client-server interaction. This cluster is coherent because full stack engineers often own the contract between UI behavior and backend implementation.",
          "slug": "api-design-and-contracts",
          "source": "db"
        },
        "dimension_id": 3,
        "input_skill": "REST",
        "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": 15,
            "rationale": null,
            "role_archetype": null,
            "slug": "full-stack-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 11,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 3,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "API Interface and Contract Design",
          "id": 289,
          "rationale": "Designing backend service interfaces and contracts that other systems consume, including endpoint and operation shape, request/response payloads, schema and validation, pagination, filtering, idempotency, versioning, status codes, and backward compatibility across REST, GraphQL, gRPC, and OpenAPI-based APIs.",
          "slug": "api-interface-and-contract-design",
          "source": "db"
        },
        "dimension_id": 289,
        "input_skill": "REST",
        "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": ".NET Backend Developer",
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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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