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The AI Engineer will build and scale Generative AI solutions powered by LLMs and agentic workflows in a rapid-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/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 behavior, limitations, and best practices

📌 IndusInd Bank - Data Scientist - Generative AI Solutions (India)
🏢 IndusInd Bank
📍 India