Senior AI Developer

Capgemini; Stevenage; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading company in technology transformation seeks a professional to lead AI systems development, integrating advanced AI/ML techniques. Responsibilities include the design and evaluation of domain-specific LLMs and orchestrating multi-agent architectures, requiring extensive experience in software and machine learning engineering. The ideal candidate will have a background in computer science with hands-on expertise in deep learning frameworks. Join a welcoming and diverse team dedicated to innovation and inclusion, where you can significantly impact technology for businesses.

Benefits

Open access to digital learning platforms

Active employee networks promoting diversity

Recognized as one of the World's most Ethical companies

Qualifications

• 5+ years software/ML engineering experience.
• Experience with deep learning frameworks (PyTorch, TensorFlow).
• Experience with pre-training or fine-tuning LLMs.

Responsibilities

• Lead AI systems creation using advanced techniques.
• Design and evaluate LLMs and knowledge graphs.
• Mentor engineers and influence technical roadmaps.

Skills

Machine Learning

AI Safety Techniques

Data Pipeline Architecture

Knowledge Graphs

Graph-Neural-Networks

Multi-Agent Architectures

Education

MSc/PhD in Computer Science or Machine Learning

Tools

PyTorch

TensorFlow

Kubernetes

Terraform

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 world's 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

Lead the creation of production-grade AI systems that combine the state of the art techniques in AI/ML including but not limited to classical machine learning algorithms, modern techniques such as large-language models (LLMs), agentic AI frameworks, graph-neural networks (GNNs) and knowledge graphs to deliver autonomous, high-value business capabilities.

You can bring your whole self to work. At Capgemini building an inclusive future is part of everyday life and will be part of your working reality. We have built a representative and welcoming environment, for everyone.

Your profile

• Design, pre-train, fine-tune and evaluate domain-specific LLMs; incorporate Retrieval-Augmented Generation (RAG) and prompt-engineering techniques to maximise factual accuracy and controllability.
• Build and orchestrate multi-agent architectures with frameworks such as AutoGen, LangGraph, CrewAI and LangChain to enable autonomous task planning, tool use and self-improvement.
• Experience and / or knowledge in AI safety techniques.
• Implement real-time and batch inference services; expose LLM/agent capabilities through secure REST/gRPC or event-driven APIs.
• Construct and maintain enterprise-scale knowledge graphs that feed ranking, recommendation and search pipelines.
• Develop and optimise graph-neural-network models for link prediction, node classification and reasoning over structured and semi-structured data sets.
• Establish MLOps practices-data/feature versioning, reproducible experiments, CI/CD, automated retraining and rollback-across cloud and on-prem platforms.
• Mentor engineers through code reviews, design sessions and internal workshops; influence technical roadmaps and research agendas.

Core Qualifications

• MSc/PhD in Computer Science, Machine Learning, Mathematics or related field, or equivalent industry experience.
• 5+ years software/ML engineering; 5+ years hands-on with deep-learning frameworks (PyTorch, TensorFlow, JAX) and distributed training on top of Python language.
• Demonstrable experience pre-training or extensively fine-tuning LLMs (GPT, Llama, Mistral, etc.) on multi-billion-token corpora, including RLHF or DPO techniques.
• Production experience with agentic frameworks and autonomous AI agents that learn and adapt in real-world environments.
• Hands-on knowledge of GNN libraries (PyTorch Geometric, DGL, Deep Graph Library) and graph databases (Neo4j, TigerGraph, Neptune).
• Proven ability to architect data pipelines with Spark/Flink/Databricks and deploy on AWS, GCP or Azure using Kubernetes and Terraform.

Preferred / Bonus Skills

• Experience optimising transformer models for edge devices (quantisation, pruning, distillation).
• Contributions to open-source GenAI projects, patents or peer-reviewed publications.

If you're excited about this role but don't meet every requirement, we still encourage you to apply, your unique experience could be just what we need

What you'll love about working here

• Open access to digital learning platforms
• Active employee networks promoting diversity, equity and inclusion like OutFront, CapAbility or Women@Capgemini
• A work environment recognized by Ethisphere as one of the World's most Ethical companies

Need to know

• All roles will require a level of security clearance; BPSS OR Security Clearance OR Developed Vetting.
• You can bring your whole self to work. At Capgemini building an inclusive future is part of everyday life and will be part of your working reality. We have built a representative and welcoming environment, for everyone.

#LI-GP5

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.