GenAI / Agentic AI Engineer

Job description

**Educational Requirements** Bachelor of Engineering **Service Line** Strategic Technology Group **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->Artificial Intelligence->Artificial Intelligence - ALL - Technology->data science->PYTHON - Technology->Machine Learning->Generative AI->retrieval augmented generation (rag)