GenAI / Agentic AI Engineer

Job Description:

• 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 Simple 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)