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Senior GenAI & Agentic AI Engineer

CapgeminiNavi Mumbai, Maharashtra, IndiaPosted 20 May 2026

Capgemini is hiring a Senior GenAI & Agentic AI Engineer to build LLM-based applications and enterprise-grade agentic systems. You will be responsible for developing RAG pipelines, integrating solutions with enterprise APIs, and ensuring production stability. Candidates should possess strong Python skills, experience with LLM frameworks, and expertise in deploying agentic AI. This role offers the opportunity to work on cutting-edge generative AI projects within a global engineering organization.

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Experience

4-6 years

Function

Engineering

Work mode

Onsite, India

Company

Tier 2

What you will work on

Capgemini is hiring a Senior GenAI & Agentic AI Engineer to build LLM-based applications and enterprise-grade agentic systems. You will be responsible for developing RAG pipelines, integrating solutions with enterprise APIs, and ensuring production stability. Candidates should possess strong Python skills, experience with LLM frameworks, and expertise in deploying agentic AI. This role offers the opportunity to work on cutting-edge generative AI projects within a global engineering organization.

TAL's take

Quality 60/1005/5 clarityTier 2 company

Solid role at a globally recognized engineering services firm involving modern Generative AI and agentic workflows.

The JD provides a clear scope of work focused on LLMs, RAG, and agentic systems with a well-defined tech stack and YOE range.

Salaries at Capgemini

11.2 LPA average

Based on 2,138 Grapevine salary entries for Capgemini.

View all salaries

Engineering

0 - 2 years | B1

4 LPA average

Range: 3 - 16 LPA

Engineering

2 - 4 years | A5

6 LPA average

Range: 2 - 54 LPA

Engineering

4 - 6 years | B1

10 LPA average

Range: 4 - 21 LPA

Engineering

6 - 8 years | B2

14 LPA average

Range: 3 - 26 LPA

Must haves

  • 4-6 years of experience
  • Strong Python and LLM frameworks like LangChain and LangGraph
  • Hands-on experience with RAG architectures and vector databases
  • Expertise in Agentic AI systems
  • Experience with AWS or Azure
  • Knowledge of LLMOps/MLOps, APIs, and enterprise integration

Tools and skills

pythonlangchainlanggraphragvector databasesagentic aiawsazureazure openaillmopsmlopsapis

About the company

Global engineering services and IT consulting firm with significant scale but distinct from top-tier product-focused companies.

Posts mentioning Capgemini