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We’re looking for a hands-on Senior AI Engineer (5–6 years) who can: Lead design and delivery of LLM & 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 & India). This is a technical leadership role, not a pure manager role.
Job Responsibility:
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, QA, 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)
Requirements:
5–6 years total experience, including 3+ years in AI / DL / NLP in production environments
Proven experience taking AI solutions from PoC to production
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
Excellent spoken and written English
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
Bachelor’s degree in Computer Science / Engineering / related field (mandatory)
Nice 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.)