AI Automation Engineer — United Kingdom

This is applied engineering, not research. The workflows you build run unattended on real client operations — lead qualification, content pipelines, reporting, WhatsApp triage — which means they have to handle messy input, fail safely, log everything and stay cheap to run. Almost everything is built inside the client’s own accounts and API keys rather than ours, so the work has to be legible to somebody else afterwards. This role covers our UK clients, so you would work UK hours and know that market’s habits: buyers who react badly to hard selling, review sensitivity higher than anywhere else we operate, and GDPR shaping how things get built rather than being documented afterwards.

What you’ll do

• Build LLM-powered workflows that survive contact with a real client account
• Write the evaluation sets that decide whether a workflow ships at all
• Keep personal data inside the workflow lawful — GDPR makes the design decision, not the write-up afterwards
• Build for clients who will ask where the model runs and who can read the output, and have an answer ready
• Automate against UK data sources: Companies House, the trade-body registers, the directories that matter here
• Say when a workflow should not be automated, including when it costs us scope

What we’re looking for

• 3+ years building software, with real production LLM work among it
• Comfortable reasoning about GDPR and data residency as engineering constraints rather than legal paperwork
• Strong Python or JavaScript, comfortable with APIs, queues and webhooks
• You have shipped something that ran unattended and dealt with it breaking
• Able to explain your architecture to a non-technical client in their language
• Able to work United Kingdom client hours from wherever you are based

Nice to have, not required

• Experience with data processing agreements and what they actually forbid
• Familiarity with n8n, Make or similar as well as hand-written services
• Any marketing operations background at all — it is rarer than it should be

You’d probably be unhappy here if…

• You want to do research or model training rather than applied delivery
• You would rather not talk to clients about what you built
• You believe most things should be fully autonomous on day one
• You would rather not think about where data physically sits

We put this on every job for the same reason we put it on every service page: finding out in month three costs us both far more than reading it now.

• The range, before the first call — we tell you what the role pays before you spend time on it, we do not negotiate people down from it, and we will not ask what you currently earn.
• Remote — United Kingdom — we ask for overlap hours with the team and your clients, not a chair.
• Paid learning time — courses, conferences and certifications covered, with time in the week to use them.
• Your own tooling budget, including AI tooling. Nobody here does a job badly because a licence was refused.
• A portfolio you keep — with client permission, the work is yours to show.
• A capped client load — we limit how many accounts we take on precisely so nobody carries twelve.

See the full package →  ·  Read about the team →

Send us something you have built — a site, an audit, a campaign, a workflow, a piece of writing — along with a short note about why this role. A CV on its own tells us very little, and we would rather read one real thing than three pages of bullet points.

Put “AI Automation Engineer” in the subject line. We read every application and we reply either way, usually with a reason. If we go quiet for more than a week, chase us — that is our failure, not yours.

No recruiters or agencies, please. We hire directly and always have.

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