:

- Role Purpose

- Hands on engineer to build Python based GenAI and AWS Bedrock solutions contributing to RAG pipelines agent workflows and production ready AI features under senior guidance

Key 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 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 Straightforward 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)

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