OpenOpportunity Sourced Jobs — Bengaluru
Full Time · On Site · Entry Level
Role: Data Scientist | Department: Data Science & Analytics | Industry: NBFC | Education: UG: B.Tech / B.E. in Any Specialization, B.C.A. in Any Specialization PG: MCA in Any Specialization, M.Tech in Any Specialization The purpose of this role is to design, build and deploy Generative AI solutions that solve real business problems across TVS Credit. From building LLM-powered chatbots, RAG pipelines and multi-agent (agentic) workflows to fine-tuning language models and integrating them into production systems, the role focuses on turning cutting edge AI capabilities into reliable, scalable products that improve customer experience, strengthen fraud detection and drive operational efficiency. Key Responsibilities: design and build GenAI/LLM solutions, RAG pipelines and agentic workflows using LangChain and LangGraph; apply prompt engineering techniques; fine-tune and evaluate models; collaborate with engineering teams to deploy solutions into production. Note: This is the cleanest, most coherent listing in this batch. Title, structured Role ("Data Scientist"), Department ("Data Science & Analytics"), Key Skills (Agentic AI, LLM, RAG, LangChain, LangGraph, Prompt Engineering), and the JD body text all align consistently around a genuine 0-2-year Generative AI/LLM role at an established, well-reviewed employer (4.1 rating, 3.6K reviews) - a solid baseline example of what a well-formed, on-topic listing looks like in this search.
Agentic Ai, generative ai, LLM, Retrieval Augmented Generation, Python, openai, Prompt Engineering, Langchain, Langgraph