Generative AI Engineer

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