Artificial Intelligence Engineer

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 (610 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, CA, 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 23 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

610 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, A, 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 SL skills and experience with at least one RDBMS (PostgreSL/MySL).

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.