• Design, develop, and optimize GenAI applications using frameworks such as LangChain, LlamaIndex, or similar tools. • Implement prompt engineering strategies and fine-tune LLMs for specific business use cases. • Integrate LLMs with existing systems through APIs and microservices. • Develop RAG (Retrieval-Augmented Generation) architectures for knowledge-based applications. • Write clean, maintainable code in Python and other relevant languages. • Ensure responsible AI practices, including bias mitigation and safety guardrails. • Stay current with evolving GenAI technologies, frameworks, and best practices.