Description

Job Description

• Must have 14+ years of experience working in Data science, GenAI and NLP technologies.
• Experts in guiding customer, solution design using architecture principles
• Must have hands-on experience on Agentic AI frameworks – LangGraph, Langchain, LlamaIndex, MCP etc.
• Experience in selecting and using paid (OpenAI on Azure, Bedrock in AWS) and open source LLMs, VLM, SLM etc.
• Expert design and develop solutions using RAG, CAG, Knowledge Graph RAG, RAG Fusion, Agents, MCP etc.
• Experience in handling large unstructured (multiple file formats) and structured (data Lake) data
• DAR for applying best solution for problem statements
• Experience with hands-on Python programming language in a must. Should know other languages too
• Ability to develop Python code as needed, set standards and train the Developers based on business needs.
• Enforce reusable framework, component development and sharing across solutions
• Experience with AWS / Azure ecosystem and development accordingly is a must. Kubernetes and other server less deployments. Experience in Observability
• Preferable to have Pharma Regulatory background
• Very good understanding of Prompt engineering techniques in developing Instruction based LLMs.
• Passionate to learn and stay updated with the latest advancements specially in generative AI
• Nice to have -contributions to the research community through publications, presentations, and participation in relevant conferences or workshops.
• Ability to articulate to business stakeholders
• Exposure to developing Guardrails for LLMs
• Good to have knowledge on Marklogic / No SQL database, Elastic Search
• Excellent written and verbal communication

Key Skills

Education

Any Graduate