Software Engineer - Data & AI

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 platform s , 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 deploy ment .

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.

Python ( FastAPI ) , Node.js , REST APIs .

SQL and PostgreSQL .

Redis/ Valkey for session and WebSocket coordination at scale .

Strong JavaScript/TypeScript, HTML5, CSS