OpenOpportunity Sourced Jobs — Bengaluru
Full Time · On Site · Entry Level
Role: Data Scientist | Department: Data Science & Analytics | Industry: NBFC | Education: UG: B.C.A. in Any Specialization, B.Tech / B.E. 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, build and deploy Generative AI solutions LLM/SLM-powered chatbots, RAG pipelines and multi-agent (agentic) workflows for enterprise use cases Develop and integrate LLM applications using fr[truncated in source] Note: This listing is internally consistent -- a genuine, specific role at a well-reviewed NBFC (4.1 rating, 3.6K reviews) with a Key Skills list (Agentic AI, LLM, Retrieval Augmented Generation, Langchain, Langgraph) that precisely matches the detailed body text. No mismatch, contradiction, or leaked artifact was found; included here as a clean baseline against which the flagged listings in this batch can be compared.
Agentic Ai, generative ai, LLM, Retrieval Augmented Generation, Python, openai, Prompt Engineering, Langchain, Langgraph