GenAI / Agentic AI Engineer

Educational Requirements Bachelor of Engineering Service Line Topaz COE unit 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 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 Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.