AI Engineer

This range is provided by Xcede. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Direct message the job poster from Xcede

2–3 days a week in a London office (flexible hybrid)

This is an opportunity to join a growing product‑led business working at the intersection of personal wellbeing, digital services, and data intelligence. The team is scaling rapidly and building out its AI capability to power a range of intelligent user experiences across web and mobile platforms.

The company is well‑funded and values creativity, autonomy, and impact. You’ll work in a small team where applied AI will directly shape future products and define how technology supports users across a range of meaningful, everyday personal finance decisions.

• Develop and launch intelligent features that support personalisation, automation, and user guidance across digital platforms
• Build and deploy machine learning workflows and LLM‑powered tools, such as recommendation systems, AI‑driven assistants, and data enrichment layers
• Prototype and iterate on experimental applications using modern AI tooling, including LLM orchestration frameworks, vector search, and prompt engineering techniques
• Work with backend and infrastructure engineers to support training pipelines, inference workflows, and scalable model deployment in a cloud‑native environment
• Explore integration of third‑party data or tools into AI‑driven services using custom APIs and automation endpoints
• Contribute to internal frameworks for evaluating performance, safety, and accuracy of AI features, including prompt variation and output consistency
• Collaborate closely with product and engineering teams to translate abstract ideas into well‑scoped AI applications with measurable value
• Play an active role in raising engineering standards around model integration, quality assurance, and responsible development practices

• Hands‑on experience delivering applied AI features or machine learning models in a live product setting
• Strong Python development skills and familiarity with ML/AI libraries such as PyTorch, Hugging Face, Lang Chain, or Tensor Flow
• Experience working with LLM‑based systems, including structured generation, retrieval‑augmented generation, and embedding‑based approaches
• Understanding of model testing and validation workflows, including prompt evaluation, fine‑tuning, or A/B testing techniques
• Familiarity with API development and model integration into live services or applications
• Comfortable working with cloud services (Azure, GCP, or AWS) and tools that support reproducibility and scaling
• Good collaboration skills and an interest in shaping AI capability within a growing product team
• A practical approach to balancing experimentation with technical robustness and user impact

If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via (feel free to include a CV for review).