AI Engineer Interntship

Design, build, and deploy Generative AI solutions (LLM applications, RAG pipelines, and agentic workflows) that address business needs across AMAN's lines of business. Gather and analyze requirements from business units, translate them into technical solutions, and choose the right approach: a low-code platform such as Dify, or development frameworks such as LangChain, LangGraph, or ARK. Develop and maintain AI agents and orchestration workflows, including tool and API integrations with internal systems and data sources. Design, test, and optimize prompts and retrieval strategies to improve the accuracy, reliability, and cost-efficiency of AI solutions. Package and deploy solutions using Docker, Kubernetes, and CI/CD pipelines, and make sure they are production ready, monitored, and maintainable. Evaluate model and solution performance using defined metrics, troubleshoot issues, and continuously improve deployed use cases. Document solutions, architectures, and reusable components, and contribute to the squad's shared knowledge base and best practices Stay current with emerging AI models, tools, and frameworks, and propose new use cases and improvements to the squad.