GenAI / Agentic AI Engineer

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
• Develop GenAI features and workflows using Python and AWS Bedrock
• Implement RAG pipelines (chunking, embeddings, retrieval, grounding)
• Build single/multi-step agent workflows using Lang Chain / Lang Graph
• 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

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, Lang Chain / Lang Graph , Simple agent flows and routing
  DevOps Basics
• Git, PRs, CI pipelines, Docker basics, artifacts

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Education: Bachelor of Engineering

• Preferred skills: Technology->Machine Learning->Generative AI->retrieval augmented generation (rag),Technology->Artificial Intelligence->Artificial Intelligence
• ALL,Technology->data science->PYTHON