About this role
Summary: Leads the development of generative AI applications, including LLM-based agents and RAG systems, and deploys them into production. Works with cross-functional teams to define requirements and analyze model behavior.
Area(s) of responsibility
Role - Sr Data Science Lead(GEN AI Developer)
Location - Noida/Pune/Mumbai/Bengaluru/Hyderabad
Notice Period - Only Immediate joiners with be consider
• Must have 8+ years of experience. Mostly in Data science, AI ML, GenAI and NLP technologies.
• At least 2+ years in GenAI application development
• Experts in problem solving, developing technical solutions
• Must have experience with Agentic AI frameworks – LangGraph, LlamaIndex, MCP, Tools register, intent based routing etc.
• Expert in using paid (OpenAI on Azure, Bedrock in AWS) and open source LLMs, VLM, SLM etc
• Expert in RAG, CAG, Knowledge Graph RAG, RAG Fusion, Agents, MCP, NLQ to SQL etc.
• Experience in handling large unstructured (multiple file formats) and structured (data Lake) data
• DAR for applying best solution for problem statements
• Strong understanding of Agents development
• Experience with Python programming language. Should know other languages too
• Ability to develop Python code efficiently, FastAPI
• Solid understanding of Model development, model serving, training/re-training techniques in a data sparse environment.
• Enforce reusable component development and sharing across solutions
• Experience with AWS / Azure ecosystem and development accordingly is a must. Kubernetes and other server less deployments
• Very good understanding of Prompt engineering techniques in developing Instruction based LLMs.
• Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs.
• Passionate to learn and stay updated with the latest advancements specially in generative AI and LLM.
• Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed.
• Experience developing Guardrails for LLMs both with open source and cloud native models.
• Collaborate with software engineers to deploy and optimize generative models in production environments, considering factors such as scalability, efficiency, and real-time performance.
• Experience in RDBMS database, Data Lake, Postgresql
• Experience on Marklogic / No SQL database
• Experience on Elastic search