Role & responsibilities

- 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

- Valuable to have knowledge on Marklogic / No SQL database, Elastic Search

📌 Gen AI Architect (Bengaluru)
🏢 KRG Technologies
📍 Bengaluru