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 , Easy agent flows and routing
DevOps Basics - Git, PRs, CI pipelines, Docker basics, artifacts

Preferred Skills :

Technology->AI-Data science->PYTHON,Technology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag)

Educational Requirements :

Bachelor of Engineering

Service Line :

Topaz COE unit

📌 GenAI / Agentic AI Engineer (Bengaluru)
🏢 Infosys
📍 Bengaluru