GenAI / Agentic AI Engineer

Job Description: - 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: - 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 Technical Requirements: - Must Have Skills - Python Core concepts OOP typing modules pytest unittest fixtures basic async - AWS Bedrock Model invocation Claude Titan etc - Knowledge bases or retrieval integration basic understanding of guardrails access controls - Generative AI Prompting system few shot RAG types and approaches Basic evaluation awareness LangChain LangGraph Simple agent flows and routing - DevOps Basics Git PRs CI pipelines Docker basics artifacts - Preferred Skills: Technology->AI-Generative AI->Generative AI - Basic,Technology->AI-Data science->PYTHON,Technology->OpenSystem->Python - OpenSystem->Python Experience: 0.00-0.00 Years