Lead - AI Engineer

ql-editor "> 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 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, 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 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. Required Skills Team Spirit Team Leadership To be an Assertive Communicator Striving for Excellence