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
02Requirements
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->AI-Generative AI->Generative AI - Basic,Technology->AI-Data science->PYTHON,Technology->OpenSystem->Python - OpenSystem->Python .