Gen AI+Agentic AI

Job description

**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**