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Pipeline run

2ebbc5bd-458e-4f28-bce1-29ad8fb6d28c

Pipeline LLM cost (USD)
API 1: $0.0027 API 2: $0.0000 API 3: $0.0000 Total: $0.0027

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
SPARSE JD
Nature of work
—
no_db_connection
Tech stack maturity
Mainstream Modern
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
1.70 / 5
· Title match
✓ Has AI skill
✓ AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1): —
Frameworks (×2): —
Models / concepts (×3): LLM, LLMs, AI
Evidence — skills matched in JD (4)
Large Language Models Cloud Native AI Security
Skill cluster (0 dimension groups, role-scoped)
No dimension groups computed for this JD.
Show KRA description ↓
Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Collaborate with cross-functional teams to optimize deployment workflows and operational processes. Assist in documenting operational procedures and best practices to support knowledge sharing. Support junior team members by providing guidance and sharing expertise to foster professional growth. Must To Have Skills: Proficiency in Large Language Models (LLMs). Experience with cloud-native services and tools for deployment and monitoring of AI models. Strong understanding of operational challenges related to AI systems and strategies to address them. Familiarity with compliance and security standards applicable to AI and data operations. Ability to analyze system performance metrics and implement improvements for reliability and efficiency.
Status: completed Created: 2026-05-13T12:58:48.198409Z Updated: 2026-05-13T12:58:48.393111Z API 3 duration: 112 ms
Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

LLM Operations Engineer

slug: — · id: — · source: llm

Resolution: human_review_required — role not in DB; role↔dimension links may be deferred.

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

Job description

About the job
Project Role : LLM Operations Engineer

Project Role Description : Utilize cloud-native services and tools for scalable and efficient deployment. Monitor LLM performance, address operational challenges, and ensure compliance and security standards in AI operations.

Must have skills : Large Language Models (LLMs)

Good to have skills : NA

Minimum 3 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

As a Large Language Model Operations Engineer, a typical day involves leveraging cloud-native platforms and tools to deploy language models in a scalable and efficient manner. The role includes continuous monitoring of model performance to ensure optimal functioning, proactively identifying and resolving operational issues, and maintaining adherence to compliance and security protocols within AI operations. This position requires a dynamic approach to managing complex systems and collaborating with various teams to support seamless AI service delivery.

Roles & Responsibilities:

 Expected to perform independently and become an SME.
 Required active participation/contribution in team discussions.
 Contribute in providing solutions to work related problems.
 Collaborate with cross-functional teams to optimize deployment workflows and operational processes.
 Assist in documenting operational procedures and best practices to support knowledge sharing.
 Support junior team members by providing guidance and sharing expertise to foster professional growth.


Professional & Technical Skills:

 Must To Have Skills: Proficiency in Large Language Models (LLMs).
 Experience with cloud-native services and tools for deployment and monitoring of AI models.
 Strong understanding of operational challenges related to AI systems and strategies to address them.
 Familiarity with compliance and security standards applicable to AI and data operations.
 Ability to analyze system performance metrics and implement improvements for reliability and efficiency.


Additional Information:

 The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
 This position is based at our Gurugram office.
 A 15 years full time education is required.


, 15 years full time education

Skills from this JD

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

Large Language Models Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Large Language Models id=2695 · large-language-models

Aliases — catalog

  • Angular CLI (CANONICAL) primary

Context tags (catalog)

AOT compilation Angular Material Angular Universal CLI commands custom schematics dependency injection environment files ng build ng generate ng lint ng serve ng test progressive web apps schematics workspace

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Build Tool
Vendor
Google
License
mit
Year introduced
2016
Confidence
0.96
Version strategy
NOT_APPLICABLE

Maturity reasoning: Commonly listed in Angular job descriptions and used as the standard project scaffolding/build tool for Angular apps; no vendor sunset or replacement has displaced it.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
2202
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Version Control Systems Catalog dimension db id 365

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Version Control Systems
d_init_01
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Native Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Cloud Native id=2696 · cloud-native

Aliases — from this run (catalog unavailable)

  • Cloud Native (CANONICAL)

Skill profile (library / DB)

Skill nature
PATTERN
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
1
Sub-category id
2203
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Version Control Systems Catalog dimension db id 365

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Version Control Systems
d_init_01
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AI Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: AI id=2634 · ai

Aliases — catalog

  • NgRx (CANONICAL) primary
  • ngrx 17 (VERSION)
  • ngrx v17 (VERSION)
  • ngrx17 (VERSION)
  • ngrx@17 (VERSION)

Context tags (catalog)

Actions Angular DevTools Effects Entity State Immutable State NgRx Component Store NgRx Effects NgRx Router Store NgRx Schematics NgRx Store Redux RxJS Selectors State Management Store actions effects entity state immutable state observables reducers selectors state management store

Stored enrichment (catalog DB)

Category
Library
Sub-category
State Management Library
Vendor
NgRx Team
License
mit
Year introduced
2016
Confidence
0.96
Version strategy
SEPARATE_ENTITY
Version tag
17

Maturity reasoning: NgRx appears in many Angular job descriptions and is a common enterprise state-management choice; its GitHub ecosystem remains active, indicating broad adoption rather than niche use.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
2147
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Version Control Systems Catalog dimension db id 365

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Version Control Systems
d_init_01
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Security Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Security id=2697 · security

Aliases — from this run (catalog unavailable)

  • Security (CANONICAL)

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
16
Sub-category id
2204
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Version Control Systems Catalog dimension db id 365

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Version Control Systems
d_init_01
 ✓ — 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
Large Language Models in_db
Version Control Systems
d_init_01
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Native in_db
Version Control Systems
d_init_01
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AI in_db
Version Control Systems
d_init_01
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Security in_db
Version Control Systems
d_init_01
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

No artifact rows for this run.
nano JD Parser — gpt-4.1-nano click to toggle
RoleLLM Operations Engineer
ExperienceMinimum 3 Year(s) Of Experience Is Required
DomainOther
Location Gurugram, India (null)
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": [
    {
      "level": "null",
      "qualification": "null - null",
      "raw": "15 years full time education",
      "requirement": "required"
    }
  ],
  "experience": {
    "max": null,
    "min": 3,
    "raw": "Minimum 3 Year(s) Of Experience Is Required"
  },
  "job_locations": [
    {
      "aliases": [
        "Gurgaon"
      ],
      "city": "Gurugram",
      "country": "India",
      "state": null,
      "work_mode": "null"
    }
  ],
  "role": "LLM Operations Engineer",
  "role_archetype": "Other",
  "roles_and_responsibilities": [
    {
      "bullet_count": 6,
      "heading": "Roles \u0026 Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Expected to perform independently and",
        "last_5_words": "foster professional growth."
      },
      "text": "Expected to perform independently and become an SME.\nRequired active participation/contribution in team discussions.\nContribute in providing solutions to work related problems.\nCollaborate with cross-functional teams to optimize deployment workflows and operational processes.\nAssist in documenting operational procedures and best practices to support knowledge sharing.\nSupport junior team members by providing guidance and sharing expertise to foster professional growth.",
      "word_count": 56
    },
    {
      "bullet_count": 5,
      "heading": "Professional \u0026 Technical Skills",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Must To Have Skills: Proficiency",
        "last_5_words": "for reliability and efficiency."
      },
      "text": "Must To Have Skills: Proficiency in Large Language Models (LLMs).\nExperience with cloud-native services and tools for deployment and monitoring of AI models.\nStrong understanding of operational challenges related to AI systems and strategies to address them.\nFamiliarity with compliance and security standards applicable to AI and data operations.\nAbility to analyze system performance metrics and implement improvements for reliability and efficiency.",
      "word_count": 66
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle 
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Large Language Models"
    },
    {
      "is_primary": true,
      "skill_name": "Cloud Native"
    },
    {
      "is_primary": true,
      "skill_name": "AI"
    },
    {
      "is_primary": true,
      "skill_name": "Security"
    }
  ],
  "jd_role": {
    "display_name": "LLM Operations Engineer",
    "rationale": null,
    "role_archetype": "Other",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": null,
    "certifications": [],
    "company_name": null,
    "ctc": null,
    "domain": {
      "primary": {
        "aliases": [],
        "domain": "Other"
      },
      "secondary": null
    },
    "education": [
      {
        "level": "null",
        "qualification": "null - null",
        "raw": "15 years full time education",
        "requirement": "required"
      }
    ],
    "experience": {
      "max": null,
      "min": 3,
      "raw": "Minimum 3 Year(s) Of Experience Is Required"
    },
    "job_locations": [
      {
        "aliases": [
          "Gurgaon"
        ],
        "city": "Gurugram",
        "country": "India",
        "state": null,
        "work_mode": "null"
      }
    ],
    "role": "LLM Operations Engineer",
    "role_archetype": "Other",
    "roles_and_responsibilities": [
      {
        "bullet_count": 6,
        "heading": "Roles \u0026 Responsibilities",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "Expected to perform independently and",
          "last_5_words": "foster professional growth."
        },
        "text": "Expected to perform independently and become an SME.\nRequired active participation/contribution in team discussions.\nContribute in providing solutions to work related problems.\nCollaborate with cross-functional teams to optimize deployment workflows and operational processes.\nAssist in documenting operational procedures and best practices to support knowledge sharing.\nSupport junior team members by providing guidance and sharing expertise to foster professional growth.",
        "word_count": 56
      },
      {
        "bullet_count": 5,
        "heading": "Professional \u0026 Technical Skills",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "Must To Have Skills: Proficiency",
          "last_5_words": "for reliability and efficiency."
        },
        "text": "Must To Have Skills: Proficiency in Large Language Models (LLMs).\nExperience with cloud-native services and tools for deployment and monitoring of AI models.\nStrong understanding of operational challenges related to AI systems and strategies to address them.\nFamiliarity with compliance and security standards applicable to AI and data operations.\nAbility to analyze system performance metrics and implement improvements for reliability and efficiency.",
        "word_count": 66
      }
    ],
    "urls": []
  },
  "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": 3670,
      "existing_alias_text": "Large Language Models",
      "input_term": "Large Language Models",
      "matched_canonical": {
        "category_id": 2,
        "display_name": "Large Language Models",
        "id": 2695,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "large-language-models",
        "sub_category_id": 2202,
        "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": 3671,
      "existing_alias_text": "Cloud Native",
      "input_term": "Cloud Native",
      "matched_canonical": {
        "category_id": 1,
        "display_name": "Cloud Native",
        "id": 2696,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PATTERN",
        "slug": "cloud-native",
        "sub_category_id": 2203,
        "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": 3431,
      "existing_alias_text": "AI",
      "input_term": "AI",
      "matched_canonical": {
        "category_id": 2,
        "display_name": "AI",
        "id": 2634,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "ai",
        "sub_category_id": 2147,
        "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": 3672,
      "existing_alias_text": "Security",
      "input_term": "Security",
      "matched_canonical": {
        "category_id": 16,
        "display_name": "Security",
        "id": 2697,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "security",
        "sub_category_id": 2204,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    }
  ],
  "candidate_roles": [],
  "chosen_role": {
    "display_name": "LLM Operations Engineer",
    "id": null,
    "rationale": null,
    "role_archetype": "Other",
    "slug": "",
    "source": "llm"
  },
  "dimensions": [
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Version Control Systems",
        "id": 365,
        "rationale": "Tools and workflows for tracking source changes, branching, merging, and collaborating on code history. Git belongs here because it is the canonical distributed version control system used to manage revisions and coordinate team development.",
        "slug": "d_init_01",
        "source": "db"
      },
      "input_skill": "Large Language Models",
      "llm_role": null,
      "roles_from_db": []
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Version Control Systems",
        "id": 365,
        "rationale": "Tools and workflows for tracking source changes, branching, merging, and collaborating on code history. Git belongs here because it is the canonical distributed version control system used to manage revisions and coordinate team development.",
        "slug": "d_init_01",
        "source": "db"
      },
      "input_skill": "Cloud Native",
      "llm_role": null,
      "roles_from_db": []
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Version Control Systems",
        "id": 365,
        "rationale": "Tools and workflows for tracking source changes, branching, merging, and collaborating on code history. Git belongs here because it is the canonical distributed version control system used to manage revisions and coordinate team development.",
        "slug": "d_init_01",
        "source": "db"
      },
      "input_skill": "AI",
      "llm_role": null,
      "roles_from_db": []
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Version Control Systems",
        "id": 365,
        "rationale": "Tools and workflows for tracking source changes, branching, merging, and collaborating on code history. Git belongs here because it is the canonical distributed version control system used to manage revisions and coordinate team development.",
        "slug": "d_init_01",
        "source": "db"
      },
      "input_skill": "Security",
      "llm_role": null,
      "roles_from_db": []
    }
  ],
  "input_final_skills": [
    "Large Language Models",
    "Cloud Native",
    "AI",
    "Security"
  ],
  "input_llm_skills": [
    "Large Language Models",
    "Cloud Native",
    "AI",
    "Security"
  ],
  "new_aliases_persisted": 0,
  "run_id": "2ebbc5bd-458e-4f28-bce1-29ad8fb6d28c",
  "skills_detail": [
    {
      "aliases_in_db": [
        {
          "alias_text": "Large Language Models",
          "alias_type": "CANONICAL",
          "id": 3670,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "Large Language Models",
        "id": 2695,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "large-language-models",
        "sub_category_id": 2202,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Version Control Systems",
            "id": 365,
            "rationale": "Tools and workflows for tracking source changes, branching, merging, and collaborating on code history. Git belongs here because it is the canonical distributed version control system used to manage revisions and coordinate team development.",
            "slug": "d_init_01",
            "source": "db"
          },
          "input_skill": "Large Language Models",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "Large Language Models",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Cloud Native",
          "alias_type": "CANONICAL",
          "id": 3671,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 1,
        "display_name": "Cloud Native",
        "id": 2696,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PATTERN",
        "slug": "cloud-native",
        "sub_category_id": 2203,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Version Control Systems",
            "id": 365,
            "rationale": "Tools and workflows for tracking source changes, branching, merging, and collaborating on code history. Git belongs here because it is the canonical distributed version control system used to manage revisions and coordinate team development.",
            "slug": "d_init_01",
            "source": "db"
          },
          "input_skill": "Cloud Native",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "Cloud Native",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "AI",
          "alias_type": "CANONICAL",
          "id": 3431,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "AI",
        "id": 2634,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "ai",
        "sub_category_id": 2147,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Version Control Systems",
            "id": 365,
            "rationale": "Tools and workflows for tracking source changes, branching, merging, and collaborating on code history. Git belongs here because it is the canonical distributed version control system used to manage revisions and coordinate team development.",
            "slug": "d_init_01",
            "source": "db"
          },
          "input_skill": "AI",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "AI",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Security",
          "alias_type": "CANONICAL",
          "id": 3672,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 16,
        "display_name": "Security",
        "id": 2697,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "security",
        "sub_category_id": 2204,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Version Control Systems",
            "id": 365,
            "rationale": "Tools and workflows for tracking source changes, branching, merging, and collaborating on code history. Git belongs here because it is the canonical distributed version control system used to manage revisions and coordinate team development.",
            "slug": "d_init_01",
            "source": "db"
          },
          "input_skill": "Security",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "Security",
      "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": []
}
API 3 — final-role-output 
{
  "chosen_role": {
    "display_name": "LLM Operations Engineer",
    "id": null,
    "rationale": null,
    "role_archetype": "Other",
    "slug": "",
    "source": "llm"
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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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