Manager

Job Description: Manager – Generative AI / Agentic AI & MLOps Location : Gurugram - On Site Reports To : SVP – Data Science / AI Role Purpose : This role is responsible for designing, building, and deploying end-to-end Generative AI and Agentic AI systems, with a strong focus on local LLM deployment, secure enterprise GenAI applications, and scalable MLOps pipelines. The position requires expertise in: Local RAG (Retrieval-Augmented Generation) pipelines Agentic AI frameworks (multi-step reasoning systems)Private LLM hosting and optimization Robust MLOps architecture (Kafka, Kubernetes, Airflow, CI/CD ) Success in this role means delivering production-grade GenAI systems that are scalable, secure, cost-efficient, and deliver measurable business impact. Key Result Areas & Responsibilities : GenAI & Agentic AI Development (35%) Design and build end-to-end GenAI applications from scratch Develop Agentic AI systems using frameworks like: LangChain, LlamaIndex, LangGraph AutoGen, CrewAI, Se...