LLM Operations Engineer (Generative AI, Machine Learning Operations, 2-4 yrs)

Project Role : LLM Operations Engineer Project Role Description : Utilize cloud-native services and tools for scalable and efficient deployment. Monitor LLM performance, address operational challenges, and ensure compliance and security standards in AI operations. Must have skills : Generative AI, Machine Learning Operations, Large Language Models (LLMs), Agentic AI

skills : NA Minimum 3 year(s) of experience is required

al Qualification : 15 years full time

Summary: We are looking for a highly skilled AI Engineer specializing in Generative AI and Multi-Agent Systems to design and deploy intelligent, autonomous solutions. This role focuses on building LLM-powered, agent-driven architectures that can reason, collaborate, and execute complex workflows across enterprise systems. You will work on cutting-edge Agentic AI frameworks, enabling systems that go beyond prediction to decision-making, orchestration, and autonomous execution. Roles &

: - Design and build multi-agent AI systems capable of planning, reasoning, and task execution - Develop applications using LLMs (GPT, Claude, Llama, etc.) with advanced prompt engineering and orchestration - Implement Agentic workflows (planner - executor - critic - memory loops) - Build RAG (Retrieval-Augmented Generation) pipelines with vector databases for enterprise knowledge grounding - Develop tool-using agents that integrate with APIs, databases, and enterprise systems - Architect and deploy AI copilots and autonomous assistants for business workflows - Optimize LLM performance using fine-tuning, prompt chaining, and caching strategies - Implement short-term and long-term memory mechanisms (vector stores, knowledge graphs) - Design multi-agent collaboration protocols (hierarchical, swarm, role-based agents) - Deploy scalable solutions using MLOps & LLMOps practices (monitoring, evaluation, guardrails) - Ensure AI safety, governance, and responsible AI practices Professional &