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Peaple Talent Ltd is seeking its first dedicated QA tester to join a fast-moving AI startup building an architecture-first platform that generates full-stack apps.
You will lead manual and exploratory testing, own automation, embed tests into CI, and shape the QA function as the product scales; hybrid setup with Bristol or London.
Bristol or London | Hybrid, 2 to 3 days in the office |
Most AI coding tools stop at generating snippets and leave you with a tangle of code nobody wants to maintain.
This company has taken on a harder problem. Their platform works more like an architect than an autocomplete. It orchestrates proven, enterprise-grade components across the frontend, backend and database to build production-ready applications in React and Node. Developers keep full-stack control and own their code outright, with no vendor lock-in. That walled garden is the thing that has held back low-code platforms for years.
It's built for teams too. A multi-layered, event-driven architecture lets several people work on the same project at once. Users can launch and publish what they build, with a database behind it, and bring colleagues from across their business onto the platform.
The company is 17 people, backed by industry veterans, and past the point most start-ups never reach: the beta is live and customers are paying for it.
You'll be the first dedicated tester in the business. The developers have built a good amount of automation, and a contractor laid much of the groundwork, so you'll have a foundation to start from. What's missing is a specialist who can get hands-on, explore the product properly and find what the automated suite misses. That's where you'll begin.
Longer term, you'll own quality across the platform. That means shaping the automation strategy, building frameworks and embedding testing into CI. It's a greenfield role in a growing business, with real scope to build a QA function and grow with it.
This isn't a conventional product to test. You'll be validating an AI engine that generates full-stack software on the fly. You'll need to work out how to get confidence in outputs that won't be identical twice, while also testing real-time, multi-user behaviour.