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Accenture

Pune · On-site · 3-6 Yrs · Oct 6

1 views

21 open roles4 posted in 7d21 in 30d

Hiring: Engineering

Job description

Overview

LLM Operations Engineer

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
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 -

Qualifications

Generative AI, Large Language Models (LLMs), Machine Learning Operations, Agentic AI

Nice to have

year(s) of experience is required

Education

15 years full time education
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.

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Job application FAQ

Last updated 26 October 2026

How do I apply for LLM Operations Engineer (Generative AI, Large Language Models, 2-4 yrs) at Accenture?: Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Accenture may attach structured assessments to interview rounds after you apply.
Does Feedback AI show a match score for this LLM Operations Engineer (Generative AI, Large Language Models, 2-4 yrs) role?: Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
Is LLM Operations Engineer (Generative AI, Large Language Models, 2-4 yrs) remote or on-site in Pune, Maharashtra?: This listing is marked on_site with location Pune, Maharashtra. Confirm details on the job description before applying.
What skills matter for this LLM Operations Engineer (Generative AI, Large Language Models, 2-4 yrs) role at Accenture?: This is a mid-level LLM Operations Engineer (Generative AI, Large Language Models, 2-4 yrs) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.