AI Engineer

You bring the experience with LLMs in production; they’ll give you the scale and the problems worth solving.

Up to £100,000 on the base

Can I work remotely?

London office, two days a week. If you’re in the UK and London is a stretch for a commute, get in touch anyway - they flex. Weeks working abroad? Achievable.

What will I actually be working on?

LLM orchestration, AI agent reasoning over complex API workflows, building the tools that make enterprise integrations intelligent. Think: how do you give an AI agent enough context to handle a messy, multi-step API workflow without a human babysitting it?

You’ve been watching the AI infrastructure space for a while. Some of what’s being built is vapour. Some of it isn’t. What does the difference look like?

An integration platform that’s making AI agents actually useful - connecting the tools businesses run on so that the AI can do the work without a human holding the pieces together. Series A, growing ARR, and hiring.

If you want to work with all the toys in a room full of grown-ups - experienced founders, a strong team who’ve been through it before, and the technical freedom to experiment - read on.

Some signs a startup is standing on solid ground:

• Paying enterprise customers - not just pilots
• Clear vision for what they’re building and who it’s for
• Founders who’ve done it before
• A team that’s careful with their hires - culture over headcount
• Room to experiment: turning ideas into experiments has already unlocked a new revenue stream

This is the role.

You’ll be working on the AI layer of an integration platform - automating how SaaS tools talk to each other using LLMs, building tools that help agents reason about complex API workflows, and shipping features that handle the messiness of real-world enterprise data. TypeScript, Python, Langsmith, Modal, AWS.