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, Large Language Models (LLMs), Machine Learning Operations, Agentic AI Good to have

skills:
NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education 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 &

Responsibilities:
• 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 Qualified & Technical

Skills:
• Experience building multi-agent orchestration systems with role-based coordination
• Exposure to agent planning algorithms (ReAct, Plan-and-Execute, Tree of Thought)
• Experience with LLM evaluation frameworks (RAGAS, TruLens, Promptfoo)
• Knowledge of graph-based reasoning, knowledge graphs
• Building autonomous systems or copilots in enterprise environments
• Domain experience in industrial, energy, or IoT environments
• Systems thinking for designing autonomous AI architectures
• Strong problem decomposition for agent task design
• Ability to balance latency, cost, and accuracy in LLM systems
• Communication with business stakeholders to translate workflows into agent pipelines
• Innovation mindset with focus on applying agentic AI in production
• 3–8 years' experience in AI/ML with strong focus on Generative AI
• Strong Python development skills
• Hands-on experience with:
• LLMs & GenAI frameworks
- OpenAI, Hugging Face Transformers
• Agent frameworks: LangChain, AutoGen, CrewAI, Semantic Kernel
• RAG pipelines & vector DBs
- FAISS, Pinecone, Weaviate
• Experience building API-driven, tool-integrated AI agents
- Strong understanding of
-
• Prompt engineering & prompt optimization
• Chain-of-thought reasoning and tool augmentation
• Context management and token optimization
• Experience with cloud platforms (Azure OpenAI preferred, AWS/GCP acceptable)
• Knowledge of Docker, Kubernetes, CI/CD pipelines Additional Information:
• The candidate should have minimum 3 years of experience in Generative AI.
• This position is based at our Pune office.
• A 15 years full time education is required.

📌 LLM Operations Engineer (Bengaluru)
🏢 Accenture in India
📍 Bengaluru