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Junior AI Engineer

About the Job you are considering:

We are looking for a Junior AI Engineer to design, build, and operationalize AI and Agentic AI solutions that transform end-to-end enterprise processes. You will develop scalable AI-powered applications, intelligent agents, and RAG-based solutions using LLMs and modern AI engineering practices. Working closely with Solution Architects, Forward Deployed Engineers, and business teams, you will integrate AI solutions into enterprise platforms and workflows. The role requires a strong foundation in software engineering, AI/ML deployment, MLOps, and Responsible AI to deliver secure, reliable, and production-ready solutions.

 

Hybrid working:

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

 

Your Role:

  • Design, develop, and deploy AI-powered applications leveraging LLMs, Generative AI, and Agentic AI technologies to transform enterprise processes.
  • Build and orchestrate intelligent agent workflows capable of reasoning, planning, and executing actions across enterprise platforms and business systems.
  • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, prompt engineering strategies, and model performance for scalability, reliability, and cost efficiency.
  • Integrate AI solutions with APIs, data platforms, workflow engines, and enterprise applications to enable seamless business operations.
  • Operationalize AI systems through MLOps practices, including deployment, monitoring, evaluation, observability, and lifecycle management.
  • Collaborate with architects, engineers, and business stakeholders to ensure secure, governed, and production-ready AI solutions aligned with enterprise standards and Responsible AI principles.

 

Your Skills:

  • Experience with Agentic AI frameworks, orchestration platforms, and multi-agent system development.
  • Familiarity with Large Language Models (LLMs), vector databases, RAG architectures, and prompt engineering techniques.
  • Hands-on experience with MLOps practices, including model deployment, monitoring, observability, and lifecycle management.
  • Knowledge of cloud-based AI services and platforms such as Microsoft Azure AI, AWS, or Google Cloud AI.
  • Experience in process automation, intelligent workflows, decision-support systems, and enterprise application integration.
  • Understanding of Responsible AI principles, including explainability, governance, security, privacy, and compliance requirements.

 

"We are a Disability Confident Employer:

Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

  • Declare they have a disability, and 
  • Meet the minimum essential criteria for the role.

Please opt in during the application process.

 

Make It Real (what does it mean for you):

  • You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation.  We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. 
    To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.
  • You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.
  • You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.

 

Why you should consider Capgemini:

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask.  When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts.  We find new ways technology can help us reimagine what’s possible.  It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future.  By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

 

About Capgemini:

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
Make it real |
www.capgemini.com

Ref. code:  505613
Posted on:  13 Jul 2026
Experience Level:  Experienced Professionals
Contract Type:  Fixed Term Contract
Location: 

London, GB

Brand:  Capgemini
Professional Community:  Data & AI

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