Were looking for a hands-on Senior AI Engineer (4–7 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 AI 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:

- 4–7 years total experience, including 3+ years in AI / DL / NLP in production environments.
- Proven experience taking AI solutions from PoC to production (not just notebooks). Technical Skills
- Robust 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.

Work Location: In person

📌 Senior AI Engineer (India)
🏢 iTech India
📍 India