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Lead AI Engineer
Lead AI EngineerTalentgigs • tamil nadu, tamil nadu, in
Lead AI Engineer

Lead AI Engineer

Talentgigs • tamil nadu, tamil nadu, in
9 hours ago
Job description

Job Title : Lead AI Engineer (LLM G Document AI)

Location : Chennai – Ambattur Industrial Estate (Work from Office)

Company : iTech India Pvt. Ltd. (US HQ, India Offshore Center)

Our AI work focuses on :

  • Document AI C OCR (invoices, legal documents, resumes, plant drawings)
  • LLM-based apps (RAG, copilots, intelligent search, summarization)
  • API-first SaaS products and on-prem enterprise solutions

Role Summary

We’re looking for a hands-on Lead AI Engineer (6–10 years) who can :

  • Lead design and delivery of LLM G Document AI solutions end-to-end
  • Own AI services in production (APIs, pipelines, monitoring)
  • Mentor a team of AI engineers and work directly with clients (US C India)
  • This is a technical leadership role, not a pure manager role.

    Key Responsibilities

  • Own the end-to-end lifecycle of AI features – from requirement understanding
  • and solution design to development, deployment and monitoring.

  • Build LLM / RAG-based solutions using vector databases (e.g., pgvector, FAISS,
  • Chroma, OpenSearch) for search, ǪCA, extraction and summarization over

    documents.

  • Develop Document AI models / pipelines for OCR post-processing, entity / key–
  • value extraction, classification and layout / table understanding.

  • Deploy models as scalable APIs / microservices in cloud and on-prem
  • environments using Python, Docker and CI / CD.

  • Work directly with client stakeholders to refine requirements, present solutions
  • and handle reviews / clarifications.

  • Act as technical lead on 2–3 AI projects, guide the team on architecture, design
  • and best practices.

  • Mentor junior ML engineers via code reviews, design discussions and technical
  • coaching.

  • Design with security, privacy and cost in mind, especially for data-sensitive
  • domains (BFSI, healthcare, legal, HR).

    Must-Have Requirements

    Experience

  • 6–10 years total experience, including 4+ years in AI / DL / NLP in production
  • environments.

  • Proven experience taking AI solutions from PoC to production (not just
  • notebooks).

    Technical Skills

  • Strong in Python and core CS fundamentals (data structures, algorithms, clean
  • code).

  • Hands-on with AI / NLP / LLMs – classification, NER, ǪA, summarization,
  • document understanding.

  • Experience with some of : PyTorch / TensorFlow / Hugging Face / LangChain /
  • LlamaIndex / spaCy.

  • Built and deployed RESTful ML services / APIs integrated with web or mobile
  • applications.

  • Worked with Docker and CI / CD pipelines; experience of AWS or GCP.
  • Good SǪL skills and experience with at least one RDBMS (PostgreSǪL / MySǪL).
  • Understanding of MLOps in production – monitoring, logging, model versioning,
  • rollback, performance C cost optimisation.

    Soft Skills

  • Excellent spoken and written English; able to explain complex ideas to non-
  • technical stakeholders.

  • Comfortable interacting with international clients and leading requirement /
  • review calls.

  • Strong ownership mindset and ability to lead and mentor junior engineers.
  • Willingness to work with partial US time-zone overlaps for key meetings
  • when required.

    Good-to-Have

  • Experience in Logistics, Legal, HR / Recruitment, Healthcare, BFSI, Education,
  • Engineering / Plant drawings.

  • Exposure to Vision Transformers / advanced CV for document layout and OCR
  • enhancement.

  • Experience with experiment tracking tools (MLflow, DVC, WCB, etc.).
  • Exposure to security G compliance (CIS, SOC2, GDPR, HIPAA, PCI-DSS, ITIL).
  • Experience with on-prem / VPC-isolated deployments and data-sensitive
  • environments.

  • Knowledge of a systems language (Go / Rust / C++ / Scala) is a plus, not
  • mandatory.

    Education

  • Bachelor’s degree in Computer Science / Engineering / related
  • field (mandatory).

  • Master’s degree is a plus.
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