AI Engineer

For our client - a fast-growing AI-driven fitness and wellness product - we are looking for an AI Engineer who will design and build intelligent AI coaching systems that plan, adapt, and personalise workouts in real time. You will develop AI agents and recommendation engines that combine structured user data, health signals, and fitness science principles to deliver safe, effective, and highly personalised training experiences. This includes building multi-step reasoning pipelines, retrieval systems, evaluation frameworks, monitoring, and guardrails, ensuring an AI coach performs reliably in production and continuously improves over time.

Responsibilities:

• Building AI agents that plan workouts, adapt in real time, and coach users - including tool use, multi-step reasoning, memory management, and context pipelines

• Building and improving recommendation systems - exercise selection, weight recommendations, intensity scaling - using structured user data

• Integrating health and recovery signals (Apple Health, body scans, fitness tests) into the coach's decision-making process

• Working with the Fitness Science team to define what "good" looks like for subjective tasks - such as whether a workout fits a user's age, injury history, and goals - then building the evaluation frameworks that enforce those standards end-to-end

• Analysing where agents fail, identifying patterns in those failures, and addressing the ones that matter most

• Designing monitoring and guardrails so agents don't fail silently in production

• Strong Python skills

• Solid software engineering fundamentals - you ship production code, not just prototypes

• Experience building AI agents - tool orchestration, multi-step workflows, context management, retrieval systems

• Experience building recommendation or scoring systems on structured data - collaborative filtering, calibration, rule-based systems, or hybrid approaches

• Strong analytical instincts - you can define what "correct" means for a subjective recommendation, design metrics that reflect user experience, and spot when a metric is lying to you

• You've fine-tuned or distilled language models to hit cost and latency targets

• You know how to make retrieval work - embeddings, vector search, and semantic similarity

• Experience with classification and regression on structured data - user health signals are messy and continuous

• Ready to learn a new domain deeply - you'll pick up exercise physiology, recovery science, and training principles on the job

• Experience building multi-agent systems

• Background in health, fitness, or wellness

• Experience with active learning or human-in-the-loop workflows

• Experience with time-series analysis or forecasting (fitness data is mostly sequences over time)

• Background in ML ops - model versioning, serving infrastructure, pipeline orchestration

• Work on a fast-growing AI-driven fitness and lifestyle product

• AI and LLMs are core not only to the product, but also to day-to-day engineering work

• Unique intersection of B2C scale and large B2B partnerships

• Growth comes from tackling complex technical challenges, deep ownership, and broad influence

• Small, people-oriented team with a strong engineering culture

We look forward to receiving your CV and learning more about your experience!

Dear Candidates, due to a high volume of applications, only selected candidates will be contacted for interviews. We appreciate your understanding. Thank you for considering a career with us!

• Work type
• Full-time
• Location
• Remote