Artificial Intelligence Engineer

AI Engineer (Backend & Data Intensive)Location: London (5 days a week onsite)Salary: £120,000 – £180,000 + EquityExperience: 3–6 yearsAbout the CompanyWe are a high-growth, data-heavy financial services firm currently valued at £170 million—a figure we strongly believe underrepresents our true market trajectory. While our competitors stall, we are scaling organically through superior engineering and robust infrastructure. At our core, we process massive volumes of data to power complex backend systems. We don’t care about pedigree, credentials, or what university you attended; we care about raw engineering talent, sharp problem-solving, and the ability to build world-class structures from scratch.The RoleWe are looking for a mid-to-senior AI Engineer who sits firmly at the intersection of robust backend engineering, artificial intelligence, and scalable data pipelines. This is not a research position or a prompt-engineering role; you will be writing clean, production-grade code, building heavy backend data-driven systems, and embedding AI directly into the core engine of our platform.Key ResponsibilitiesDesign, build, and maintain highly scalable backend architectures capable of heavy, high-throughput data processing.Integrate and optimise AI models and machine learning pipelines directly into core infrastructure to solve complex financial services problems.Construct robust data engineering pipelines to ensure seamless data flow, storage, and processing across backend systems.Focus heavily on engineering structure, writing clean, maintainable, and highly efficient code that meets rigorous performance standards.Collaborate closely with the wider engineering team to continuously refine system design and architecture as we scale.What We Are Looking For3–6 years of core engineering experience with a strong, hands-on background in backend development and AI systems.Exceptional software engineering fundamentals—you prioritise clean code, optimisation, and building for long-term structural integrity.Proven experience working within data-heavy environments, handling large-scale data processing pipelines and backend data-driven systems.A strong grasp of modern AI frameworks and libraries, with the practical engineering skills required to deploy them effectively into production.A practical, problem-solving mindset. We value what you can build and how you think over formal qualifications or university names.Ability to work collaboratively and at pace in a fast-moving, 5 days a week onsite environment