AI Engineer

Location: Urmston

Job Title:

AI Engineer About the Job you are considering:

Capgemini Financial Services is building a new AI Engineering Innovation team to design and deliver next-generation AI solutions for strategic business use cases. The team already includes experienced technologists, and we are expanding with AI engineers and developers who are passionate about solving complex technical challenges using modern AI, large language models (LLMs), and cloud-native engineering.

If you are a strong Python developer with hands-on experience in AI engineering, agentic frameworks, and enjoy working in fast-paced, collaborative environments, this is the role for you.

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:

Develop scalable AI/LLM-based solutions using Python, Lang Chain, Lang Graph, and related agentic frameworks

Build, optimize, and deploy agentic AI workflows, multi-agent architectures, and retrieval-augmented generation (RAG) systems

Contribute to the design and implementation of LLM observability, evaluation workflows, prompt monitoring, and model performance instrumentation

Collaborate with Data Scientists and AI Engineers to integrate machine learning models into production systems

Participate in architectural discussions, technical design reviews, and code reviews

Drive continuous improvement through innovation, experimentation, and rapid prototyping

Work closely within cross-functional and globally distributed teams, contributing to team culture, knowledge sharing, and engineering best practices

Your

Skills:

Strong hands-on experience as a Python Developer with solid coding, debugging, and problem-solving skills

Practical experience in AI engineering, with exposure to building LLM-based or agentic AI solutions

Familiarity with Lang Chain, Lang Graph, or similar agentic/LLM orchestration frameworks

Understanding of LLM observability, evaluation metrics, prompt evaluation, guardrails, and model lifecycle management

Good understanding of data structures, algorithms, and integration patterns

Strong team player with the ability to learn quickly, adapt to new tools/technologies, and contribute in a greenfield environment

Exposure to vector databases, embeddings, and retrieval-augmented generation (RAG) architectures

Knowledge of AI safety, governance, and responsible AI principles

Experience in enterprise-grade application delivery within banking or financial services

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, andMeet 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 think tanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, 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…