Generative AI Engineer

Experience: 5 - 10 years Location: Hyderabad/Mumbai/Bangalore/Indore/Chennai/Gift Job Description: • Strong hands-on experience building AI/LLM-powered systems end-to-end. • Expertise with LangChain and LangGraph. • Deep proficiency in Python for Al pipelines, APIs, and orchestration. • Strong understanding of embeddings, chunking, retrieval architectures, and ranking strategies. • Experience with open-source LLMs (Llama, Mistral, Falcon, Mixtral, etc.) • Experience deploying full-stack enterprise applications. • Experience with vector database design and optimization. • Strong knowledge of Kubernetes, Docker, CI/CD, microservices, and cloud deployment patterns. • Bands-on experience integrating solutions with Microsoft Copilot. • Experience with Al evaluation, observability, and model governance Key responsibilities: • Design and implement full end to end RAG pipelines (ingestion, chunking, embeddings, retrieval, ranking) • Build scalable Al workflows using LangChain, LangGraph, and agent-based architectures. • Develop backend services and APIs in Python, ensuring scalability, security, and maintainability. • Create full-stack UIs for GenAl applications (React, Angular, Vue, etc.) • Integrate and optimize vector databases (Pinecone, ChromaDB, Weaviate, Milvus) • Implement Microsoft Copilot integrations across enterprise workflows and apps. • Build evaluation frameworks, observability pipelines, and quality guardrails using tools such as RAGAS, LangSmith, or custom evaluation metrics. • Implement enterprise authentication and access (OAuth, Azure AD, Okta) • Optimize model performance, inference latency, indexing strategies, and retrieval accuracy. • Ensure proper DevOps (Docker, Kubernetes), CI/CD, and release management for all Al components. • Collaborate with cross-functional teams to drive Al adoption and ensure scalable, maintainable solutions. • Provide long-term support, model updates, error handling, and operational governance