Lead AI Engineer

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) About iTech iTech is a Dallas-headquartered IT C ITES company with an offshore development center in Chennai. We build custom web C mobile applications and AI/ML solutions for global clients across logistics, HR, legal, healthcare, education, BFSI, and engineering. 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, ?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 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: Experience Requirements: ? 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, ?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 with AWS or GCP. ? Good S?L skills and experience with at least one RDBMS (PostgreS?L/MyS?L). ? 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.