Role Purpose Hands on engineer to build Python based GenAI and AWS Bedrock solutions, contributing to RAG pipelines, agent workflows, and production-ready AI features under senior guidance. Key Responsibilities • Develop GenAI features and workflows using Python and AWS Bedrock • Implement RAG pipelines (chunking, embeddings, retrieval, grounding) • Build single/multi-step agent workflows using LangChain / LangGraph • Integrate LLMs with APIs, tools, and enterprise applications • Write tested, maintainable Python code with CI/CD pipelines • Monitor basic latency, token usage, and cost metrics • Collaborate with architects, seniors, and QA teams