Capgemini Hiring Agentic AI Developer – LLMs, RAG, Multi-Agent Frameworks – Hybrid Opening at Noida

Job Description

About the Company

Capgemini is a global leader in consulting, technology, and engineering services. By joining us, you’ll be part of a collaborative, innovation-driven environment where you can shape your own career trajectory and contribute to large-scale AI transformations.

Role Summary

As an Agentic AI Developer, you will design, build, and deploy AI agent architectures that can autonomously plan, reason, and execute tasks across domains. You’ll work with multi-agent communication protocols, fine-tune large language models, and integrate external knowledge via Retrieval-Augmented Generation (RAG) pipelines. This role calls for end-to-end AI system thinking, from lightweight models to full agent orchestration, in collaboration with ML, data science, and product teams.

Key Responsibilities

• Architect and implement agentic AI systems with autonomous planning, reasoning, and task execution

• Design and develop multi-agent communication frameworks and coordination protocols

• Work with foundational LLMs (e.g. LLaMA, GPT) for language understanding, generation, and planning

• Build and integrate RAG pipelines to augment agent reasoning from external knowledge sources

• Fine-tune pre-trained models using frameworks like HuggingFace, PEFT, LoRA

• Experiment with and deploy lightweight / efficient models (e.g. Phi, TinyLLMs) suitable for real-time or constrained environments

• Collaborate cross-functionally with ML engineers, data scientists, and product leads to deliver end-to-end AI solutions

• Drive prompt engineering, chaining logic, and agent orchestration

• Stay updated with emerging research and help evolve best practices for agentic AI development

Candidate Profile / Requirements

• Proven experience developing and deploying agentic AI systems

• Proficiency in LLMs (e.g. LLaMA, GPT, or other open-source models)

• Hands-on experience with RAG / retrieval-augmented reasoning architectures

• Skilled in model fine-tuning methods (PEFT, LoRA, etc.)

• Experience implementing agent-to-agent communication and multi-agent workflows

• Strong Python development skills and familiarity with ML frameworks (PyTorch, TensorFlow, Transformers)

• Experience in prompt engineering, chaining, and LLM orchestration

• Excellent analytical skills, problem-solving orientation, and ability to collaborate across teams

Work Locations

• Hyderabad

• Chennai / Bangalore

• Pune

Employment Type

• Permanent / Full-time

Suggested Salary Range (India)

From recent market data:

• Glassdoor lists that Agentic AI Developer roles in India have reported salary ranges around ₹8,00,000 to ₹15,00,000 per annum.

• AI Developer / Agentic AI roles have average salaries in India of ₹23,85,444 per year (though this is likely skewed by senior / niche roles)

• More generally, AI / ML engineer roles with seniority often land between ₹20,00,000 to ₹35,00,000+ depending on expertise and domain.

• Capgemini’s average overall salary is ~ ₹18,30,000 based on employee data.

Considering the niche skillset and senior nature:

Recommended Salary Band:
₹18,00,000 – ₹35,00,000 per annum (all inclusive, depending on experience, locations, bonuses, and responsibilities)