Senior AI Software Engineer

Join Our Team We are the Audi Revolut F1® Team. Audi Revolut F1 Team is the official factory team of Audi, as the brand enters the FIA Formula 1 World Championship for the first time in 2026.

The team is based in three locations: the power unit is developed by Audi Formula Racing GmbH at the Audi Competence Center Motorsport in Neuburg, Germany; the chassis is engineered and race operations are managed from the state-of-the-art facilities of Audi Motorsport AG in Hinwil, Switzerland; while the Audi Motorsport Technology Centre UK in Bicester, United Kingdom, provides a foothold in the heart of -Motorsport Valley-, with direct access to top F1 talent and key strategic partners.

What you need? The mindset of an athlete. If you are someone for whom giving up isn-t an option and limits are just something to be overcome, you can bring Vorsprung durch Technik to Formula 1 with us. Become part of this unique project and make motorsport history.

We are seeking an experienced Senior AI Software Engineer to join our high-performance Digital Solutions departments.

This position for the Audi Revolut F1® Team is based at Audi Motorsport Technology Centre in Bicester, UK Your missionAs a Senior AI Software Engineer in Digital Solutions UK, you will help transform the digital tools used across the organisation, with a strong focus on building smart, reliable and scalable applications that improve performance from development through to race operations.

You will work hands-on on strategic initiatives, delivering performance for departments and stakeholders across the business. The role combines full-stack software engineering, domain learning, stakeholder collaboration and practical GenAI delivery, helping Digital Solutions build the smartest tools with strong AI capabilities on the grid.

Your duties will include; Design, develop, test and deliver high-quality full-stack software solutions, including backend services, frontend applications, APIs, databases and integrations. Take ownership of complex features and technical workstreams, from requirements capture, through to production delivery and ongoing improvement.

Contribute hands-on to strategic Digital Solutions projects that support end-to-end engineering and operational processes. Work with engineering, operations and business stakeholders to understand workflows, challenge assumptions and turn domain needs into pragmatic digital solutions.

Build AI-enabled capabilities into stakeholder-facing applications, applying GenAI and agentic AI patterns where they create measurable business value and can be governed safely. Support enterprise scaling of AI adoption by contributing to practical use cases, secure integration patterns, cost-aware implementation and approved-tool usage.

Contribute to architecture, software engineering standards, CI/CD, testing, deployment automation and maintainable cloud-native engineering practices. Your profile Proven experience as a Software Engineer, preferably in a senior or technically influential role.

Strong full-stack software engineering capability, including backend and frontend development using modern languages and frameworks such as C\#, Python, TypeScript, ASP.NET Core, FastAPI, React, Vue, Svelte or equivalent technologies.

Hands-on experience with GenAI technologies, including practical use of LLMs, AI coding assistants, prompt engineering and integration of AI capabilities into applications. Experience designing, developing, testing and maintaining production-quality cloud-native software systems.

Good understanding of software architecture, APIs, databases, distributed systems, automated testing, CI/CD and modern development practices. Ability to take ownership of complex technical problems and deliver pragmatic, maintainable solutions in a fast-paced environment. Fluent written and spoken English.

Experience with cloud platforms, Kubernetes, infrastructure as code, deployment automation, platform operations, streaming systems, data-focused applications or ML Opsconcepts. Experience in motorsport, high-performance engineering, aerodynamics, simulation, telemetry or other complex engineering domains would be beneficial but is not mandatory.