What to Expect

Working within the Data & AI capability team, this role designs, builds, and operates full-stack, AI-enabled software, with a strong frontend focus. You build the user-facing products and interfaces that make McLaren's data and AI usable: chat experiences, engineering assistants, dashboards, and internal digital products, backed by the AI platforms.

You will work in a product-oriented delivery model, embedded in or allocated to a business-aligned product team (Product Development, Manufacturing, or Commercial), drawing on shared capabilities from the unified platform team.

You sit at a valuable intersection where you build both the polished front-end users interact with and the AI integration layer behind it (streaming LLM responses, RAG, agents), deploying on the cloud infrastructure that runs them.

What You'll Do

• Design, build, and maintain responsive, accessible, high-performance web applications and AI-enabled interfaces, including chat UIs, streaming responses, dashboards, and interactive tools.
• Build AI-enabled UX that is transparent and trustworthy: token-by-token streaming, source citations, confidence indicators, human-in-the-loop review and correction, safety warnings, and graceful error/fallback states.
• Integrate frontends with the McLaren AI platforms, handle streaming, token limits, rate limits, and retries.
• Build and maintain backend services and APIs that support AI-powered features and connect to data products and source systems.
• Deliver data and AI products through the lifecycle, from POC and proof of integration (POI) to MVP and production, connecting cleanly to source systems and downstream consumers at every integration boundary.
• Own the infrastructure your services run on: infrastructure-as-code, CI/CD, containerisation, and observability and deployment.
• Contribute to AI evaluation and quality: build and run automated evals and regression tests and use observability tooling to track latency, token usage, and failure modes.
• Apply governance and security as code: ownership, access controls, lineage, quality checks, auth, least privilege, and encryption, scaled by product maturity.
• Champion McLaren-controlled infrastructure and data residency by default and drive adoption of AI tools.
• Plan and deliver work in agile sprints, balancing exploratory R&D with production-grade delivery. Give honest estimates and flag scope risk early.