Pipeline run

e728992f-63fa-4d7c-b42e-793bdf85a912

Pipeline LLM cost (USD)

API 1: $0.0032 API 2: $0.0000 API 3: $0.0000 Total: $0.0032

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description

Nature of work · AI/ML Engineering

Build and maintain backend AI services and pipelines in Python/.NET, preparing datasets with preprocessing, augmentation, chunking, embeddings and fine-tuning, then integrating OpenAI/Azure cognitive services and deploying scalable solutions.

""Design and develop backend services using Python or .NET to support OpenAI-powered solutions""

Tech stack maturity

Modern Cloud Native

The role centers on AI engineering with modern stack elements like OpenAI, embeddings, Python, and cloud-era machine learning patterns, which aligns best with a modern cloud-native environment.

AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)

3.20 / 5

✓ Title match

✓ Has AI skill

✓ AI skill (primary)

· AI skill (secondary)

· On AI team

· Builds AI products

vocab breakdown (legacy)

Assistants (×1): —

Frameworks (×2): —

Models / concepts (×3): OpenAI, Transformers, fine-tuning, embeddings, LLM, NLP, computer vision, multimodal, AI, GenAI, Generative AI, Machine Learning, Deep Learning, Artificial Intelligence

Evidence — skills matched in JD (13)

Python .NET OpenAI Large Language Models Azure Cognitive Services Artificial Intelligence Machine Learning Embeddings Data Preprocessing Data Augmentation Synthetic Data AI Pipelines Model Fine-Tuning

Skill cluster (4 dimension groups, role-scoped)

AI Governance and Model Security

Machine Learning

ML Frameworks and Libraries

Embeddings

Python Programming

Python

Cross-cutting / unaligned

.NET OpenAI Large Language Models Azure Cognitive Services Artificial Intelligence Data Preprocessing Data Augmentation Synthetic Data AI Pipelines Model Fine-Tuning

Show KRA description ↓

• Handle data preprocessing, augmentation, and generation of synthetic data. • Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) • Develop and Maintaining AI Pipelines • Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. • Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions • Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. • Ensure the robustness, efficiency, and scalability of AI systems. • Stay updated with the latest advancements in AI and machine learning technologies.

Signals

Skill ml-engineer

0.31

Alias ai-engineer

0.52

KRA ai-engineer

0.50

Post-classification

Centroidupdated · n=16

Alias collision log—

New-role queue—

New skills captured7

New KRA captured—

Captured for admin review

.NET primary ↔ AI Engineer pending

Large Language Models primary ↔ AI Engineer pending

Azure Cognitive Services primary ↔ AI Engineer pending

Data Preprocessing primary ↔ AI Engineer pending

Synthetic Data primary ↔ AI Engineer pending

AI Pipelines primary ↔ AI Engineer pending

Model Fine-Tuning primary ↔ AI Engineer pending

Status: extract_from_jd_done Created: 2026-05-19T11:33:50.095159Z Updated: 2026-05-19T11:33:50.994935Z

Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

No chosen role stored for this run.

Job description

Gen AI Engineer - Coimbatore

Role –Senior Gen AI Engineer

Experience : 3 Yr To 12 Yr

Location : Coimbatore

Mode of Interview - In Person

Date : 11th Oct 2025 (Saturday)

Job Description

• Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data.
• Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders)
• Work on tasks involving language modeling, text generation, understanding, and contextual comprehension.
• Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets.
• Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS.
• Integrate AI models with our company's data to enhance and augment existing applications.

Role & Responsibility

• Handle data preprocessing, augmentation, and generation of synthetic data.
• Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution)
• Develop and Maintaining AI Pipelines
• Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models.
• Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions
• Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions.
• Ensure the robustness, efficiency, and scalability of AI systems.
• Stay updated with the latest advancements in AI and machine learning technologies.

Skills & Experience

• Strong foundation in machine learning, deep learning, and computer science.
• Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers).
• Experience with natural language processing (NLP) and computer vision is a plus.
• Ability to work independently and as part of a team.
• Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models.
• Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models.
• Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models.
• Experience in developing and deploying AI models in production environments.
• Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions
• Should be able to bring new ideas and innovative solutions to our clients

Skills from this JD

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

Python Primary No API 2 row (run stopped after API 1 or history missing)

.NET Primary No API 2 row (run stopped after API 1 or history missing)

OpenAI Primary No API 2 row (run stopped after API 1 or history missing)

Large Language Models Primary No API 2 row (run stopped after API 1 or history missing)

Azure Cognitive Services Primary No API 2 row (run stopped after API 1 or history missing)

Artificial Intelligence Primary No API 2 row (run stopped after API 1 or history missing)

Machine Learning Primary No API 2 row (run stopped after API 1 or history missing)

Embeddings Primary No API 2 row (run stopped after API 1 or history missing)

Data Preprocessing Primary No API 2 row (run stopped after API 1 or history missing)

Data Augmentation Primary No API 2 row (run stopped after API 1 or history missing)

Synthetic Data Primary No API 2 row (run stopped after API 1 or history missing)

AI Pipelines Primary No API 2 row (run stopped after API 1 or history missing)

Model Fine-Tuning Primary No API 2 row (run stopped after API 1 or history missing)

Library artifacts (this run)

No artifact rows for this run.

nano JD Parser — gpt-4.1-nano click to toggle

RoleSenior Gen AI Engineer

Experience3 Yr To 12 Yr

DomainIT Services & Consulting

Location Coimbatore, India (null)

JD type pass

Show raw JSON

{
  "JD_type": "pass",
  "about_company": null,
  "certifications": [],
  "company_name": null,
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [
        "ITES",
        "BPO"
      ],
      "domain": "IT Services \u0026 Consulting"
    },
    "secondary": null
  },
  "education": [],
  "experience": {
    "max": 12,
    "min": 3,
    "raw": "3 Yr To 12 Yr"
  },
  "job_locations": [
    {
      "aliases": [
        "Kovai"
      ],
      "city": "Coimbatore",
      "country": "India",
      "state": null,
      "work_mode": "null"
    }
  ],
  "role": "Senior Gen AI Engineer",
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 8,
      "heading": "Role \u0026 Responsibility",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Handle data preprocessing, augmentation,",
        "last_5_words": "and machine learning technologies."
      },
      "text": "\u2022 Handle data preprocessing, augmentation, and generation of synthetic data.\n\u2022 Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution)\n\u2022 Develop and Maintaining AI Pipelines\n\u2022 Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models.\n\u2022 Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions\n\u2022 Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions.\n\u2022 Ensure the robustness, efficiency, and scalability of AI systems.\n\u2022 Stay updated with the latest advancements in AI and machine learning technologies.",
      "word_count": 108
    }
  ],
  "urls": []
}

API 1 — extract-from-jd click to toggle

{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Python"
    },
    {
      "is_primary": true,
      "skill_name": ".NET"
    },
    {
      "is_primary": true,
      "skill_name": "OpenAI"
    },
    {
      "is_primary": true,
      "skill_name": "Large Language Models"
    },
    {
      "is_primary": true,
      "skill_name": "Azure Cognitive Services"
    },
    {
      "is_primary": true,
      "skill_name": "Artificial Intelligence"
    },
    {
      "is_primary": true,
      "skill_name": "Machine Learning"
    },
    {
      "is_primary": true,
      "skill_name": "Embeddings"
    },
    {
      "is_primary": true,
      "skill_name": "Data Preprocessing"
    },
    {
      "is_primary": true,
      "skill_name": "Data Augmentation"
    },
    {
      "is_primary": true,
      "skill_name": "Synthetic Data"
    },
    {
      "is_primary": true,
      "skill_name": "AI Pipelines"
    },
    {
      "is_primary": true,
      "skill_name": "Model Fine-Tuning"
    }
  ],
  "jd_role": {
    "display_name": "Senior Gen AI Engineer",
    "rationale": null,
    "role_archetype": "Engineering",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": null,
    "certifications": [],
    "company_name": null,
    "ctc": null,
    "domain": {
      "primary": {
        "aliases": [
          "ITES",
          "BPO"
        ],
        "domain": "IT Services \u0026 Consulting"
      },
      "secondary": null
    },
    "education": [],
    "experience": {
      "max": 12,
      "min": 3,
      "raw": "3 Yr To 12 Yr"
    },
    "job_locations": [
      {
        "aliases": [
          "Kovai"
        ],
        "city": "Coimbatore",
        "country": "India",
        "state": null,
        "work_mode": "null"
      }
    ],
    "role": "Senior Gen AI Engineer",
    "role_archetype": "Engineering",
    "roles_and_responsibilities": [
      {
        "bullet_count": 8,
        "heading": "Role \u0026 Responsibility",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Handle data preprocessing, augmentation,",
          "last_5_words": "and machine learning technologies."
        },
        "text": "\u2022 Handle data preprocessing, augmentation, and generation of synthetic data.\n\u2022 Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution)\n\u2022 Develop and Maintaining AI Pipelines\n\u2022 Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models.\n\u2022 Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions\n\u2022 Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions.\n\u2022 Ensure the robustness, efficiency, and scalability of AI systems.\n\u2022 Stay updated with the latest advancements in AI and machine learning technologies.",
        "word_count": 108
      }
    ],
    "urls": []
  },
  "rejected": false,
  "rejection_reason": null,
  "run_id": "e728992f-63fa-4d7c-b42e-793bdf85a912",
  "stage3_signals": {
    "alias_match_roles": [
      {
        "display_name": "AI Engineer",
        "matched_count": null,
        "role_id": 13,
        "score": 0.5217,
        "slug": "ai-engineer",
        "total_count": null
      },
      {
        "display_name": "AR/VR Engineer",
        "matched_count": null,
        "role_id": 8,
        "score": 0.4,
        "slug": "ar-vr-engineer",
        "total_count": null
      },
      {
        "display_name": "Cybersecurity Engineer",
        "matched_count": null,
        "role_id": 5,
        "score": 0.3667,
        "slug": "cybersecurity-engineer",
        "total_count": null
      },
      {
        "display_name": "Backend Engineer",
        "matched_count": null,
        "role_id": 1,
        "score": 0.3548,
        "slug": "backend-engineer",
        "total_count": null
      },
      {
        "display_name": "ML Engineer",
        "matched_count": null,
        "role_id": 3,
        "score": 0.3462,
        "slug": "ml-engineer",
        "total_count": null
      }
    ],
    "kra_match_roles": [
      {
        "display_name": "AI Engineer",
        "matched_count": null,
        "role_id": 13,
        "score": 0.5048,
        "slug": "ai-engineer",
        "total_count": null
      },
      {
        "display_name": "AI Compliance Officer",
        "matched_count": null,
        "role_id": 12,
        "score": 0.485,
        "slug": "ai-compliance-officer",
        "total_count": null
      },
      {
        "display_name": "ML Engineer",
        "matched_count": null,
        "role_id": 3,
        "score": 0.4702,
        "slug": "ml-engineer",
        "total_count": null
      },
      {
        "display_name": "Cloud Architect",
        "matched_count": null,
        "role_id": 9,
        "score": 0.4184,
        "slug": "cloud-architect",
        "total_count": null
      },
      {
        "display_name": "Android Engineer",
        "matched_count": null,
        "role_id": 4,
        "score": 0.4164,
        "slug": "android-engineer",
        "total_count": null
      }
    ],
    "skill_match_roles": [
      {
        "display_name": "ML Engineer",
        "matched_count": 4,
        "role_id": 3,
        "score": 0.3077,
        "slug": "ml-engineer",
        "total_count": 13
      },
      {
        "display_name": "Data Engineer",
        "matched_count": 1,
        "role_id": 2,
        "score": 0.0769,
        "slug": "data-engineer",
        "total_count": 13
      },
      {
        "display_name": "Backend Engineer",
        "matched_count": 1,
        "role_id": 1,
        "score": 0.0769,
        "slug": "backend-engineer",
        "total_count": 13
      },
      {
        "display_name": "AR/VR Engineer",
        "matched_count": 1,
        "role_id": 8,
        "score": 0.0769,
        "slug": "ar-vr-engineer",
        "total_count": 13
      },
      {
        "display_name": "AI Engineer",
        "matched_count": 1,
        "role_id": 13,
        "score": 0.0769,
        "slug": "ai-engineer",
        "total_count": 13
      }
    ],
    "stage35_ran": false
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "A",
    "chosen_role": {
      "display_name": "AI Engineer",
      "matched_count": null,
      "role_id": 13,
      "score": 1.0,
      "slug": "ai-engineer",
      "total_count": null
    },
    "confidence": 0.5048,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "queued": false,
    "reasoning": "Stage 1 title \u0027AI Engineer\u0027 (embedding match, sim 0.78); KRA agrees (0.50)"
  },
  "stage5_updates": {
    "centroid_n_after": 16,
    "centroid_updated": true,
    "collision_log_id": null,
    "new_kra_attached": null,
    "new_skills_attached": [
      {
        "is_primary": true,
        "queue_id": 1280,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": ".NET",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 1281,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Large Language Models",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 1282,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Azure Cognitive Services",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 1283,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Data Preprocessing",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 1284,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Synthetic Data",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 1285,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "AI Pipelines",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 1286,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Model Fine-Tuning",
        "status": "pending"
      }
    ],
    "queue_entry_id": null,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
  }
}

API 2 — extract-details

{}

API 3 — final-role-output

{}

LLM Calls

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

Loading…