Build AI-powered features that leverage large language models to transform the running experience for users worldwide
Work closely with engineering, product and coaching teams to build components that use LLMs to interpret, generate and personalise training insights
Build conversational interfaces, knowledge-based reasoning and dynamic content generation systems
Work across full stack of applied LLM engineering: prompt design, model evaluation, orchestration, deployment and iteration
Design and refine prompt strategies and RAG pipelines to ensure grounded, accurate and context-aware outputs
Collaborate with coaches to translate deep training knowledge into scalable intelligent systems
Apply data-driven and experimental approaches to model development, evaluation and continuous improvement, including automated and human-feedback evaluation frameworks
Experiment in production (e.g., A/B tests) to ensure high quality outcomes
Write clean, well-tested Python code and contribute to backend systems supporting model orchestration, inference and user-facing integration
Requirements
Solid experience designing and building AI powered systems and working with LLMs in production
Proficiency in Python (object oriented) programming and writing production quality code
Experience testing code to ensure maintainable, scalable solutions
Analytical and detail-oriented with commitment to high-quality work
Pragmatic mindset with excellent communication and collaboration skills
Experience with iterative development, continuous deployment and test automation
Experience with knowledge sharing, pair programming, collaborative design & development
Shared code ownership & cross-functional team experience
Bonus: understanding of deployment, release cycles or CI/CD
Bonus: exposure to delivering features end-to-end from architecture to release and support
Bonus: experience with serverless and event driven architectures
Bonus: cloud experience, ideally AWS
Bonus: interest in health/fitness technologies
Bonus: some TypeScript experience
Benefits
We’re offering a salary of £60k-£80k per year, depending on experience
Participation in Strava's long-term incentive (stock) programs
Flexible working – typically 3 days a week in Vauxhall office
25 days holiday, plus bank holidays
Runna subscriptions for you and 5 of your friends
Strava membership
Headspace membership
Money every year to spend on gear, events and the gym
Annual voucher for Runna kit (renewed on work anniversary)
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