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 Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.