Were 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 :

- 6 to 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.