Function : Business Intelligence and AnalyticsPOSITION SUMMARY : The Data Scientist/ AI Engineer will build, and scale Generative AI solutions powered by LLMs and agentic workflows in a quick- paced environment. This role owns the end- to- end development of AI features-from prompt engineering and retrieval- augmented generation (RAG) to autonomous agents deployed in production. The AI Engineer works closely with founders, product, and engineering teams to rapidly turn ideas into production- ready GenAI solutions that deliver measurable business impact.KEY ACCOUNTABILITIES/ KEY RESPONSIBILITIES : - Build and deploy Generative AI applications using LLMs, including chat, summarization, reasoning, and content generation- Design and implement agentic AI systems with tool calling, planning, memory, and multi- step workflows- Develop RAG pipelines using embeddings, vector databases, and retrieval strategies- Own the full GenAI lifecycle : prompt engineering, fine- tuning, evaluation, deployment, and monitoring- Optimize GenAI systems for accuracy,



cost, latency, and scalability- Collaborate with product and engineering teams to rapidly ship AI features- Document system behaviour, limitations, and best practicesDESIRED PROFILE : Qualifications and Skills : - Bachelor's degree in Statistics, Economics, Finance, Mathematics,Computers or a related quantitative field- Engineering / MBA background from a premier institute is preferred.- Minimum 3+ years' experience- Strong proficiency in Python, cloud hyper scalars, MLOps, DevsecOps- Hands- on experience with LLMs, GenAI, or agentic AI systems, experience with agent frameworks- Solid understanding of RAG, embeddings, and transformer- based models,- Exposure to fine- tuning, LLM evaluation, or guardrail- Experience deploying AI solutions to production environments- Ability to thrive in ambiguity and take end- to- end ownership (ref:hirist.tech)

📌 IndusInd Bank - Data Scientist (Hyderabad)
🏢 IndusInd Bank
📍 Hyderabad