Applied AI Engineer

QOVES is a technology company pioneering facial aesthetics, helping consumers make smarter beauty decisions. Every day, people make important decisions about their appearance based on guesswork or generic advice. We help them decide with clarity instead. Our platform gives customers a clear, science-backed understanding of their face, paired with bespoke advice on how they can look better. Our work reaches millions: more than 3 million people follow QOVES across platforms and most importantly, our customers are delighted, with 4.8 stars across 600+ reviews; we believe this reflects the care and sensitivity with which we approach everyone who comes to us for guidance. We’re a profitable, growing company headquartered in London, with a team across the globe. What guides us is simple: people deserve more than one-size-fits-all advice when it comes to their appearance. Every decision we make (from the science behind our models to the way we communicate results) is grounded in evidence, responsibility, and a broad, inclusive understanding of beauty.

The non-negotiable is this: you write most of your code by directing AI coding agents like Claude Code and Codex, and you are accountable for every line they produce, including the wrong ones. If “the AI did it” sounds like a reasonable defence, this role is not for you.

We hand you a product design and a brief. You work out what data each part of the design needs, then build the backend logic that analyses images and user input and returns structured data to our frontend team. You set up open-source computer vision and AI models, run them on real images, and judge whether their output is accurate enough to ship. You check your own work before review, so wrong values, invented APIs and messy code stop with you. Then you ship small, well-typed pull requests that pass review the first time. We define the product. Your job is to make it work and keep it maintainable.

You will build the systems that turn a face image into the analysis our customers rely on, working with a diverse, global team where your judgement on what ships actually matters. QOVES is profitable and growing, and the work is fully remote.

Please send your CV and answers to the following three questions to jobs@qoves. com. Keep each answer to a maximum of 150 words.

Please also include a link to one example of your work, such as a repository, pull request, technical write-up, or demo, if available.