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Pipeline run

6b07d462-46a1-4be6-a291-4f25a7366153

Pipeline LLM cost (USD)
API 1: $0.0102 API 2: $0.0002 API 3: $0.0000 Total: $0.0104

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
SPARSE JD role baseline loaded sources · ai_index: role_baseline · nature_of_work: jd · tech_stack_maturity: role_baseline
Nature of work · Data access and persistence
Uses Python in Jupyter notebooks to analyze public datasets, derive business insights, and solve intermediate coding/algorithm tasks with clear reasoning and documentation while collaborating with researchers.
"Apply business acumen and analytical skills to derive actionable insights from public databases."
Tech stack maturity
Modern Cloud Native
Backend development today is typically built around cloud-hosted services, containers, CI/CD, and distributed systems, but AI is usually only an optional integration rather than the core of the role.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
1.80 / 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):
Evidence — skills matched in JD (4)
Python Jupyter Data Analysis Kaggle
Skill cluster (2 dimension groups, role-scoped)
Programming Languages
Python
Cross-cutting / unaligned
Jupyter Data Analysis Kaggle
Show KRA description ↓
• Develop efficient Python solutions to address diverse problems. • Apply business acumen and analytical skills to derive actionable insights from public databases. • Articulate reasoning and logic clearly when writing code in platforms like Jupyter notebooks. • Collaborate closely with researchers to exchange insights and ideas. • Ensure thorough documentation for all developed code. • Utilize data analysis expertise to respond to significant business inquiries using datasets from various sources including Kaggle, the UN, and the US government. • Open to applicants at all levels, from junior to seasoned industry professionals. • Bachelor's degree in Engineering, Computer Science, or equivalent practical experience. • Proficiency in Python programming language for coding and debugging. • Ability to handle intermediate-level Python coding tasks and understand algorithmic concepts. • Strong problem-solving skills, complemented by exceptional reasoning and mathematical abilities. • Proficient in English with excellent communication skills for effective team collaboration.

Signals

Skill backend-engineer
1.00
Alias backend-engineer
1.00
KRA data-engineer
0.46

Post-classification

Centroidupdated · n=162
Alias collision log
New-role queue
New skills captured3
New KRA capturedyes

Captured for admin review

Jupyter Backend Developer pending
Data Analysis Backend Developer pending
Kaggle Backend Developer pending
R&R fragment (sim 0.00) Backend Developer pending

• Develop efficient Python solutions to address diverse problems. • Apply business acumen and analytical skills to derive actionable insights from public databases. • Articulate reasoning and logic cl…

Status: completed Created: 2026-05-27T13:45:57.610601Z Updated: 2026-05-27T13:47:26.620143Z API 3 duration: 14047 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

Backend Developer

Python Backend Developer

sub-role · 0.98 domain · Software Engineering CASE DOMAIN

slug: backend-engineer · id: 1 · source: db · sub-role slug: python-backend-developer

Domain=Software Engineering → sub-role python-backend-developer; The JD centers on Python development, debugging, data analysis, and coding in Jupyter notebooks, which best matches the Python Developer alias under Backend Developer.

Matched skills

PythonJupyter notebooksdata analysisalgorithmic conceptsdebuggingbusiness acumenanalytical skillspublic databasesKaggleUNUS government

Matched dimensions

Python software developmentData analysis and insight generationAnalytical problem solvingTechnical documentationResearch collaborationBusiness inquiry support

Matched KRAs

Develop efficient Python solutionsDerive actionable insights from public databasesWrite code in Jupyter notebooksCollaborate closely with researchersEnsure thorough documentation for all developed codeRespond to significant business inquiries using datasets

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

Interested in a new opportunity as a Python Developer? A prominent US-based client is seeking a Python Developer.


In the role of Python Data Developer, your primary responsibility is to conduct thorough code reviews and deliver actionable feedback with accompanying documentation. Collaboration with researchers and other stakeholders is essential for project alignment.


Job Responsibilities:
• Develop efficient Python solutions to address diverse problems.
• Apply business acumen and analytical skills to derive actionable insights from public databases.
• Articulate reasoning and logic clearly when writing code in platforms like Jupyter notebooks.
• Collaborate closely with researchers to exchange insights and ideas.
• Ensure thorough documentation for all developed code.
• Utilize data analysis expertise to respond to significant business inquiries using datasets from various sources including Kaggle, the UN, and the US government.


Job Requirements:
• Open to applicants at all levels, from junior to seasoned industry professionals.
• Bachelor's degree in Engineering, Computer Science, or equivalent practical experience.
• Proficiency in Python programming language for coding and debugging.
• Ability to handle intermediate-level Python coding tasks and understand algorithmic concepts.
• Strong problem-solving skills, complemented by exceptional reasoning and mathematical abilities.
• Proficient in English with excellent communication skills for effective team collaboration.


Perks:
• Collaborate with global standard experts and cultivate relationships to bolster your career objectives.
• Embrace the convenience of remote employment, diverging from conventional office structures.
• Receive a competitive salary in USD, commensurate with international norms.
• Contribute to groundbreaking endeavors that redefine technology's limits, accelerating your professional journey.




Ready to advance your career? Dive into our tests and MCQs now to enhance your chances of securing one of our dynamic roles in the tech industry. Don't miss out on this opportunity to play a pivotal role in our mission and reshape the tech landscape for all.

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

  • 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 saved
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for XR
programming-languages-for-xr
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python Programming
python-programming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Jupyter 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
Data Engineering Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Data Analysis 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
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Kaggle 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
Data Engineering Tools
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED

All API 3 persistence rows

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

Skill Tag Dimension Skill↔dim Role↔dim Outcome Notes
Python in_db
Cloud Security Scripting & DSL Languages
cloud-security-scripting-dsl-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension saved
Python in_db
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for XR
programming-languages-for-xr
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Python Programming
python-programming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Jupyter | type=Data Engineering Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Data Analysis | type=Concepts subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed Kaggle | type=Data Engineering Tools subtype=general nature=PLATFORM lifespan=MULTI_YEAR
nano JD Parser — gpt-4.1-nano click to toggle
RolePython Developer
CompanyUS-based client
ExperienceOpen to applicants at all levels, from junior to seasoned industry professionals.
DomainOther
Location United States (remote)
JD type pass
Show raw JSON
{
  "JD_type": "pass",
  "about_company": null,
  "certifications": [],
  "company_name": "US-based client",
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [],
      "domain": "Other"
    },
    "secondary": null
  },
  "education": [
    {
      "level": "Bachelor\u0027s",
      "qualification": "BTECH/BE - Engineering / Computer Science (or equivalent)",
      "raw": "Bachelor\u0027s degree in Engineering, Computer Science, or equivalent practical experience.",
      "requirement": "required"
    }
  ],
  "experience": {
    "max": null,
    "min": null,
    "raw": "Open to applicants at all levels, from junior to seasoned industry professionals."
  },
  "job_locations": [
    {
      "aliases": [],
      "city": null,
      "country": "United States",
      "state": null,
      "work_mode": "remote"
    }
  ],
  "role": "Python Developer",
  "role_aliases": [
    "Python Data Developer",
    "Python Engineer",
    "Software Developer"
  ],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 6,
      "heading": "Job Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Develop efficient Python solutions",
        "last_5_words": "Kaggle, the UN, and the US government."
      },
      "text": "\u2022 Develop efficient Python solutions to address diverse problems.\n\u2022 Apply business acumen and analytical skills to derive actionable insights from public databases.\n\u2022 Articulate reasoning and logic clearly when writing code in platforms like Jupyter notebooks.\n\u2022 Collaborate closely with researchers to exchange insights and ideas.\n\u2022 Ensure thorough documentation for all developed code.\n\u2022 Utilize data analysis expertise to respond to significant business inquiries using datasets from various sources including Kaggle, the UN, and the US government.",
      "word_count": 66
    },
    {
      "bullet_count": 6,
      "heading": "Job Requirements",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Open to applicants at all",
        "last_5_words": "for effective team collaboration."
      },
      "text": "\u2022 Open to applicants at all levels, from junior to seasoned industry professionals.\n\u2022 Bachelor\u0027s degree in Engineering, Computer Science, or equivalent practical experience.\n\u2022 Proficiency in Python programming language for coding and debugging.\n\u2022 Ability to handle intermediate-level Python coding tasks and understand algorithmic concepts.\n\u2022 Strong problem-solving skills, complemented by exceptional reasoning and mathematical abilities.\n\u2022 Proficient in English with excellent communication skills for effective team collaboration.",
      "word_count": 81
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Python"
    },
    {
      "is_primary": false,
      "skill_name": "Jupyter"
    },
    {
      "is_primary": false,
      "skill_name": "Data Analysis"
    },
    {
      "is_primary": false,
      "skill_name": "Kaggle"
    }
  ],
  "jd_role": {
    "display_name": "Python Developer",
    "rationale": null,
    "role_aliases": [
      "Python Data Developer",
      "Python Engineer",
      "Software Developer"
    ],
    "role_archetype": "Engineering",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": null,
    "certifications": [],
    "company_name": "US-based client",
    "ctc": null,
    "domain": {
      "primary": {
        "aliases": [],
        "domain": "Other"
      },
      "secondary": null
    },
    "education": [
      {
        "level": "Bachelor\u0027s",
        "qualification": "BTECH/BE - Engineering / Computer Science (or equivalent)",
        "raw": "Bachelor\u0027s degree in Engineering, Computer Science, or equivalent practical experience.",
        "requirement": "required"
      }
    ],
    "experience": {
      "max": null,
      "min": null,
      "raw": "Open to applicants at all levels, from junior to seasoned industry professionals."
    },
    "job_locations": [
      {
        "aliases": [],
        "city": null,
        "country": "United States",
        "state": null,
        "work_mode": "remote"
      }
    ],
    "role": "Python Developer",
    "role_aliases": [
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    "role_archetype": "Engineering",
    "roles_and_responsibilities": [
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        "bullet_count": 6,
        "heading": "Job Responsibilities",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Develop efficient Python solutions",
          "last_5_words": "Kaggle, the UN, and the US government."
        },
        "text": "\u2022 Develop efficient Python solutions to address diverse problems.\n\u2022 Apply business acumen and analytical skills to derive actionable insights from public databases.\n\u2022 Articulate reasoning and logic clearly when writing code in platforms like Jupyter notebooks.\n\u2022 Collaborate closely with researchers to exchange insights and ideas.\n\u2022 Ensure thorough documentation for all developed code.\n\u2022 Utilize data analysis expertise to respond to significant business inquiries using datasets from various sources including Kaggle, the UN, and the US government.",
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        "bullet_count": 6,
        "heading": "Job Requirements",
        "heading_was_present": true,
        "source_marker": {
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          "last_5_words": "for effective team collaboration."
        },
        "text": "\u2022 Open to applicants at all levels, from junior to seasoned industry professionals.\n\u2022 Bachelor\u0027s degree in Engineering, Computer Science, or equivalent practical experience.\n\u2022 Proficiency in Python programming language for coding and debugging.\n\u2022 Ability to handle intermediate-level Python coding tasks and understand algorithmic concepts.\n\u2022 Strong problem-solving skills, complemented by exceptional reasoning and mathematical abilities.\n\u2022 Proficient in English with excellent communication skills for effective team collaboration.",
        "word_count": 81
      }
    ],
    "urls": []
  },
  "rejected": false,
  "rejection_reason": null,
  "run_id": "6b07d462-46a1-4be6-a291-4f25a7366153",
  "stage3_signals": {
    "alias_found": true,
    "alias_match_roles": [
      {
        "display_name": "Backend Developer",
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        "matched_count": null,
        "matched_skills": null,
        "role_id": 1,
        "score": 1.0,
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      },
      {
        "display_name": "Python Backend Developer",
        "kra_matches": null,
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        "role_id": 80,
        "score": 1.0,
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      }
    ],
    "kra_match_roles": [
      {
        "display_name": "Data Engineer",
        "kra_matches": [
          {
            "kra_text": "Works with data analysts, data scientists, and business stakeholders to define data models, ingestion schedules, and data delivery requirements.",
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            "similarity": 0.5233
          },
          {
            "kra_text": "Implements data transformation, cleansing, deduplication, and enrichment logic to convert raw source data into analytics-ready curated datasets.",
            "sentence": "Apply business acumen and analytical skills to derive actionable insights from public databases.",
            "similarity": 0.485
          },
          {
            "kra_text": "Maintains data catalog entries, column-level data lineage, and technical documentation to support data discoverability and governance across the organization.",
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            "similarity": 0.3682
          }
        ],
        "matched_count": null,
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        "role_id": 2,
        "score": 0.4588,
        "slug": "data-engineer",
        "total_count": null
      },
      {
        "display_name": "React Native Developer",
        "kra_matches": [
          {
            "kra_text": "maintain code quality",
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            "kra_text": "maintain code quality",
            "sentence": "Articulate reasoning and logic clearly when writing code in platforms like Jupyter notebooks.",
            "similarity": 0.4314
          },
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            "kra_text": "maintain code quality",
            "sentence": "Develop efficient Python solutions to address diverse problems.",
            "similarity": 0.3263
          }
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        "matched_count": null,
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        "role_id": 73,
        "score": 0.4451,
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        "total_count": null
      },
      {
        "display_name": "Flutter Developer",
        "kra_matches": [
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            "similarity": 0.4978
          },
          {
            "kra_text": "structure reusable application code",
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            "similarity": 0.424
          },
          {
            "kra_text": "integrate external APIs and data sources",
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      },
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        "display_name": "Angular Frontend Developer",
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        ],
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      },
      {
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      {
        "display_name": "ML Engineer",
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        ],
        "role_id": 3,
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      },
      {
        "display_name": "Cyber Security Engineer",
        "kra_matches": null,
        "matched_count": 1,
        "matched_skills": [
          "Python"
        ],
        "role_id": 5,
        "score": 1.0,
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        "total_count": 1
      },
      {
        "display_name": "AR/VR Engineer",
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        "matched_skills": [
          "Python"
        ],
        "role_id": 8,
        "score": 1.0,
        "slug": "ar-vr-engineer",
        "total_count": 1
      }
    ]
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "DOMAIN",
    "chosen_role": {
      "display_name": "Backend Developer",
      "kra_matches": null,
      "matched_count": null,
      "matched_skills": null,
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      "total_count": null
    },
    "confidence": 0.78,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "matched_dimensions": [
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      "Data analysis and insight generation",
      "Analytical problem solving",
      "Technical documentation",
      "Research collaboration",
      "Business inquiry support"
    ],
    "matched_kras": [
      "Develop efficient Python solutions",
      "Derive actionable insights from public databases",
      "Write code in Jupyter notebooks",
      "Collaborate closely with researchers",
      "Ensure thorough documentation for all developed code",
      "Respond to significant business inquiries using datasets"
    ],
    "matched_skills": [
      "Python",
      "Jupyter notebooks",
      "data analysis",
      "algorithmic concepts",
      "debugging",
      "business acumen",
      "analytical skills",
      "public databases",
      "Kaggle",
      "UN",
      "US government"
    ],
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Domain=Software Engineering \u2192 sub-role python-backend-developer; The JD centers on Python development, debugging, data analysis, and coding in Jupyter notebooks, which best matches the Python Developer alias under Backend Developer.",
    "sub_role": {
      "confidence": 0.98,
      "display_name": "Python Backend Developer",
      "reasoning": "The JD explicitly centers on Python programming, debugging, and Python-based data analysis work, with no stronger signal for any other backend language.",
      "role_id": 80,
      "slug": "python-backend-developer"
    }
  },
  "stage5_updates": {
    "centroid_n_after": 162,
    "centroid_updated": true,
    "collision_log_id": null,
    "new_kra_attached": {
      "best_kra_similarity": 0.0,
      "queue_id": 208,
      "r_and_r_preview": "\u2022 Develop efficient Python solutions to address diverse problems.\n\u2022 Apply business acumen and analytical skills to derive actionable insights from public databases.\n\u2022 Articulate reasoning and logic cl",
      "role_display_name": "Backend Developer",
      "role_slug": "backend-engineer",
      "status": "pending"
    },
    "new_skills_attached": [
      {
        "is_primary": false,
        "queue_id": 4701,
        "role_display_name": "Backend Developer",
        "role_slug": "backend-engineer",
        "skill_name": "Jupyter",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 4702,
        "role_display_name": "Backend Developer",
        "role_slug": "backend-engineer",
        "skill_name": "Data Analysis",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 4703,
        "role_display_name": "Backend Developer",
        "role_slug": "backend-engineer",
        "skill_name": "Kaggle",
        "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"
    }
  ],
  "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": 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"
    }
  ],
  "chosen_role": {
    "display_name": "Backend Developer",
    "id": 1,
    "rationale": "Domain=Software Engineering \u2192 sub-role python-backend-developer; The JD centers on Python development, debugging, data analysis, and coding in Jupyter notebooks, which best matches the Python Developer alias under Backend Developer.",
    "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"
  },
  "dimensions": [
    {
      "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"
      },
      "input_skill": "Python",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Cloud Security Engineer",
          "id": 23,
          "rationale": null,
          "role_archetype": null,
          "slug": "cloud-security-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "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"
      },
      "input_skill": "Python",
      "llm_role": null,
      "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"
        }
      ]
    },
    {
      "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"
      },
      "input_skill": "Python",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Cyber Security Engineer",
          "id": 5,
          "rationale": null,
          "role_archetype": null,
          "slug": "cybersecurity-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "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"
      },
      "input_skill": "Python",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Data Engineer",
          "id": 2,
          "rationale": null,
          "role_archetype": null,
          "slug": "data-engineer",
          "source": "db"
        }
      ]
    },
    {
      "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"
      },
      "input_skill": "Python",
      "llm_role": null,
      "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"
        }
      ]
    },
    {
      "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"
      },
      "input_skill": "Python",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "AR/VR Engineer",
          "id": 8,
          "rationale": null,
          "role_archetype": null,
          "slug": "ar-vr-engineer",
          "source": "db"
        }
      ]
    },
    {
      "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"
      },
      "input_skill": "Python",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Python Backend Developer",
          "id": 80,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "python-backend-developer",
          "source": "db"
        }
      ]
    }
  ],
  "input_final_skills": [
    "Python",
    "Jupyter",
    "Data Analysis",
    "Kaggle"
  ],
  "input_llm_skills": [
    "Python",
    "Jupyter",
    "Data Analysis",
    "Kaggle"
  ],
  "new_aliases_persisted": 0,
  "run_id": "6b07d462-46a1-4be6-a291-4f25a7366153",
  "skills_detail": [
    {
      "aliases_in_db": [
        {
          "alias_text": "Python",
          "alias_type": "CANONICAL",
          "id": 67,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Python 2",
          "alias_type": "VERSION",
          "id": 72,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Python 2.x",
          "alias_type": "VERSION",
          "id": 74,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Python 3",
          "alias_type": "VERSION",
          "id": 73,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Python 3.10",
          "alias_type": "VERSION",
          "id": 76,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Python 3.11",
          "alias_type": "VERSION",
          "id": 77,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Python 3.12",
          "alias_type": "VERSION",
          "id": 78,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Python 3.x",
          "alias_type": "VERSION",
          "id": 75,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "py",
          "alias_type": "VERSION",
          "id": 2183,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "py2",
          "alias_type": "VERSION",
          "id": 68,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "py3",
          "alias_type": "VERSION",
          "id": 69,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "python 3",
          "alias_type": "VERSION",
          "id": 2186,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "python 3.x",
          "alias_type": "VERSION",
          "id": 2849,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "python2",
          "alias_type": "VERSION",
          "id": 70,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "python3",
          "alias_type": "VERSION",
          "id": 71,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "python3.x",
          "alias_type": "VERSION",
          "id": 2848,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "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"
      },
      "dimensions": [
        {
          "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"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Security Engineer",
              "id": 23,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-security-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "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"
          },
          "input_skill": "Python",
          "llm_role": null,
          "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"
            }
          ]
        },
        {
          "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"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cyber Security Engineer",
              "id": 5,
              "rationale": null,
              "role_archetype": null,
              "slug": "cybersecurity-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "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"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Data Engineer",
              "id": 2,
              "rationale": null,
              "role_archetype": null,
              "slug": "data-engineer",
              "source": "db"
            }
          ]
        },
        {
          "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"
          },
          "input_skill": "Python",
          "llm_role": null,
          "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"
            }
          ]
        },
        {
          "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"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "AR/VR Engineer",
              "id": 8,
              "rationale": null,
              "role_archetype": null,
              "slug": "ar-vr-engineer",
              "source": "db"
            }
          ]
        },
        {
          "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"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Python Backend Developer",
              "id": 80,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "python-backend-developer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Python",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Jupyter",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Data Engineering Tools",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "jupyter",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Data Analysis",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Concepts",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "EVERGREEN",
          "version_strategy": "UNVERSIONED",
          "volatility": "STABLE"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "data-analysis",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Kaggle",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Data Engineering Tools",
          "skill_nature": "PLATFORM",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "kaggle",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Jupyter",
    "Data Analysis",
    "Kaggle"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "Backend Developer",
    "id": 1,
    "rationale": "Domain=Software Engineering \u2192 sub-role python-backend-developer; The JD centers on Python development, debugging, data analysis, and coding in Jupyter notebooks, which best matches the Python Developer alias under 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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