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