GenAI / Agentic AI Engineer

Educational Requirements Bachelor of Engineering Service Line Topaz COE unit 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 and Professional 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->OpenSystem->Python - OpenSystem->Python Technology->AI-Data science->PYTHON Technology->AI-Generative AI->Generative AI - Basic