AI Engineer

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.

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

FAQs

What does it pay?

Up to £100,000 on the base

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?

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