Generative AI Engineer

Role & responsibilities

Handson engineer to build Pythonbased 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 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

MustHave 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

Good to Have

Vector DB exposure (OpenSearch, FAISS, Pinecone, etc.), Kubernetes awareness, ML basics (metrics, crossval, leakage awareness), Understand requirements clearly, Good communication and learning mindset & Team-oriented execution.

Note: Apply only if you are available in Bangalore or ready to relocate .

Experience with dotnet full stack and Gen ai is mandatory.

Preferred candidate profile