Jobs at Tradestack
Must have skills
Good to have skills
About this Opportunity
We're building an AI workforce for UK trades, using frontier AI on a mature, production agentic stack. We've already run a successful internship programme with students from Oxford and Cambridge, and we're now looking for an exceptional engineer to work on our agentic systems alongside the founders, with a genuine path to a full-time role.
Posted 9 June 2026 · Applications close 19 June 2026
Build and extend the evaluation systems we use to measure and improve our AI agents, including our onboarding agent.
Have real input into the architecture of our agentic system: how the components connect, and how we keep the whole thing reliable in production.
Run experiments on how our LLMs and agents behave, and turn what you learn into concrete, measurable improvements.
Work hands-on across the agent stack, from prompting and tools to retrieval, and the data and APIs the agents depend on.
In your second, third, or fourth year of a Computer Science or Computer Engineering degree at a leading UK university (e.g. Oxford, Cambridge, Imperial, or UCL).
Real, hands-on experience building LLM applications. You've built and shipped something with them, not just experimented.
A deep, genuine interest in LLMs and agentic systems.
A solid grasp of the fundamentals: databases, APIs, and a real feel for how the moving parts of a system fit together.
An excellent communicator who explains decisions clearly, in writing and in person.
Available full-time for a summer internship of around 10 to 12 weeks between June and September, with some flexibility on exact dates to fit your term.
You have the right to work in the UK (we can't sponsor a visa for this role).
you haven't actually built anything with LLMs yet. A genuine interest is great, but it isn't a substitute for hands-on experience.
you mainly want to build user interfaces. This role is about agents, evaluation, and the back-end systems that sit behind them.
you're looking for a large, structured graduate scheme. We're a small team, and you'll have real responsibility from week one.
you aren't studying Computer Science or Computer Engineering at a UK university, in your second year or beyond.
Work closely with the founders on real, production AI systems.
Genuine input and ownership. The work you do ships.
A clear path to full-time for standout interns.
Hybrid working from our London base.
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