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Searchability is hiring a Full Stack Engineer to work on an AI native platform. You will own features end to end across React/TypeScript front end and Python back end in a small, highly autonomous team.
This six-month remote contract offers up to £500 per day outside IR35, with the aim to transition to permanent. You will collaborate directly with the founder to shape architecture and deliver production-ready software for an agentic AI workflow.
An early Series A startup building a production intelligence platform for video content. Not another content generation tool. Content creation is a solved problem, and what they are building sits around it, taking a production from the initial brief all the way through to the finished deliverable. Advertising is the starting market, with the same model applying to production more widely after that.
The platform is agentic at its core, and so is the way the team works. The founding engineer builds this way himself, day to day, and the person joining needs to work the same way. This is not a company where AI tooling is something people are being encouraged to try. It is already how the software gets written.
The team is five people day to day, fully remote, headquartered in the South West. There is one engineer in the business at the moment and you would be the second.
This is a genuine full stack role with a front end lean. Not a front end specialist role, and equally not an AI research or ML engineering role. The platform is still evolving and the person who joins needs to own features end to end rather than waiting on someone else for the other half.
You would be working directly with the founding engineer, contributing to architecture rather than picking up tickets, and shaping how the platform is built while it is still being figured out.
You do not need to have built agentic workflows from scratch, although it is a strong plus if you have. What you do need is to have genuinely worked in an agentic way yourself.
That means using something like Claude Code, Cursor or Copilot properly. Handing it a plan, letting it implement, running the loop, reviewing the output. Not autocomplete. And on something real that you owned and maintained over weeks or months, not a weekend project you abandoned.
The reason this matters is that understanding how an agent behaves, where it succeeds and where it falls over, is the same understanding the product itself is built on. If you already think in those terms, the product will make immediate sense to you. If you do not, it will be a hard place to start.
Fully remote with real autonomy, a small team where you will genuinely shape the product, and direct access to the founder and founding engineer. The contract route is deliberate. They want to bring people in quickly while the raise completes, then convert to permanent and build the core team around the people who fit.