Large Language Model (LLM) Operations Engineer

Accenture India Private Limited; Bengaluru; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Accenture India Private Limited is seeking an LLM Operations Engineer to design and deploy agentic AI architectures that enable autonomous decision-making and orchestration across enterprise systems.

You will build and optimize LLM-powered workflows, RAG pipelines, and tool-using agents while applying MLOps practices to monitor, evaluate, and guard AI deployments for security and governance.

Qualifications

• Minimum 3 years of experience in Generative AI.
• Experience with multi-agent orchestration and agent planning algorithms is desirable.
• Proficiency in Python and modern ML tooling is required.

Responsibilities

• Design and build multi-agent AI systems capable of planning, reasoning, and task execution
• Develop applications using LLMs with advanced prompt engineering and orchestration
• Implement Agentic workflows (planner - executor - critic - memory loops)
• Build RAG pipelines with vector DBs for enterprise grounding
• Develop tool-using agents that integrate with APIs, databases, and enterprise systems
• Architect and deploy AI copilots for business workflows
• Optimize LLM performance using fine-tuning, prompt chaining, and memory strategies
• Ensure AI safety, governance, and responsible AI practices

Skills

Generative AI

LLMs

Machine Learning Operations

Agentic AI

Python

LLM frameworks

Prompt engineering

Cloud platforms

Education

15 years full time education

Tools

Docker

Kubernetes

CI/CD pipelines

LangChain

OpenAI API

Job description

LLM Operations Engineer 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

Professional & 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.