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Senior GenAI & Agentic AI Engineer

ExperiencedNo visa sponsorship
Capgemini logo

at Capgemini

Consultancies

Posted 6 days ago

No clicks

**Senior GenAI & Agentic AI Engineer** at Capgemini Engineering: Engineer cutting-edge LLMs (Language Models) and agentic AI systems. Key responsibilities include designing copilots, integrating with enterprise systems, and ensuring production stability. Proficient in Python, LLM frameworks, RAG architectures, and cloud (AWS/Azure). Bachelor's degree + 4-6 years' experience required.

Compensation
Not specified

Currency: Not specified

City
Mumbai
Country
India

Full Job Description

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the worlds most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Your Role

  • Design and build LLM-based applications (copilots, assistants, contextual AI)
  • Develop and optimize RAG pipelines for enterprise use cases
  • Implement agentic AI systems (multi-agent orchestration, planning & execution loops)
  • Integrate solutions with enterprise systems/APIs/data sources
  • Ensure production stability (monitoring, RCA, performance tuning, deployments)

Your Profile

  • 4-6 Years expereince only
  • Strong Python + LLM frameworks (LangChain, LangGraph, etc.)
  • Hands-on RAG architectures & vector databases
  • Expertise in Agentic AI (multi-agent, tool-based systems)
  • Experience with AWS/Azure (preferably Azure OpenAI)
  • Knowledge of LLMOps/MLOps, APIs, and enterprise integration

What you'll love about working here

  • You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.
  • You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.
  • At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Senior GenAI & Agentic AI Engineer

Compensation

Not specified

City: Mumbai

Country: India

Capgemini logo
Consultancies

6 days ago

No clicks

at Capgemini

ExperiencedNo visa sponsorship

**Senior GenAI & Agentic AI Engineer** at Capgemini Engineering: Engineer cutting-edge LLMs (Language Models) and agentic AI systems. Key responsibilities include designing copilots, integrating with enterprise systems, and ensuring production stability. Proficient in Python, LLM frameworks, RAG architectures, and cloud (AWS/Azure). Bachelor's degree + 4-6 years' experience required.

Full Job Description

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the worlds most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Your Role

  • Design and build LLM-based applications (copilots, assistants, contextual AI)
  • Develop and optimize RAG pipelines for enterprise use cases
  • Implement agentic AI systems (multi-agent orchestration, planning & execution loops)
  • Integrate solutions with enterprise systems/APIs/data sources
  • Ensure production stability (monitoring, RCA, performance tuning, deployments)

Your Profile

  • 4-6 Years expereince only
  • Strong Python + LLM frameworks (LangChain, LangGraph, etc.)
  • Hands-on RAG architectures & vector databases
  • Expertise in Agentic AI (multi-agent, tool-based systems)
  • Experience with AWS/Azure (preferably Azure OpenAI)
  • Knowledge of LLMOps/MLOps, APIs, and enterprise integration

What you'll love about working here

  • You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.
  • You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.
  • At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.