Lead AI Engineer (LLM G Document AI)

About the job

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, QCA, 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, QA, 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 SQL skills and experience with at least one RDBMS (PostgreSQL / MySQL). • Understanding of MLOps in production – monitoring, logging, model versioning, rollback, performance & 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 & 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.

Requirements

• Python
• AI
• NLP
• Machine Learning
• Document AI

Qualifications

• Bachelor’s degree in Computer Science
• Master’s degree

Preferred Technologies

• Python
• AI
• NLP
• Machine Learning
• Document AI