AI Engineer needed to join a highly skilled Engineering & AI team in a rapidly growing sports tech company.
Role and Responsibilities:
- Design, build, and deploy Large Language Model (LLM)-driven applications into production
- Develop retrieval-augmented generation (RAG) systems for real-time insights from performance and wearable data
- Optimise and fine-tune LLMs for efficiency, scalability, and accuracy in production environments
- Build and maintain robust data pipelines and scalable backend components in Python
- Collaborate cross-functionally with engineers, data scientists, designers, and product managers to ship AI-first features
Requirements:
- 2+ years of hands-on AI Engineering experience, with strong software engineering fundamentals
- Proven experience working with LLMs in production (fine-tuning, prompt engineering, or API integrations)
- Proficiency in Python
- Experience designing and deploying RAG pipelines (vector databases, embeddings, retrieval optimisation)
- Academic Excellence: BSc or MSc in Computer Science, AI, Data Science, or related technical field from a top university
- Familiarity with frameworks such as PyTorch, Hugging Face, LangChain, or LlamaIndex
- Passionate about sports, health, or fitness – you’ll feel right at home here
Bonus points if you:
- Have worked with unstructured data (text, documents, time-series) and applied NLP techniques
- Have experience scaling LLM systems using cloud platforms (AWS/GCP/Azure) and containerisation (Docker, Kubernetes)
AI Engineer - Elite Sports Tech - London
