Lead Platform Engineer
Central London (4 days on site) · Full-time, permanent
About the company
A fast-growing, venture-backed AI start-up building an AI system of action for the UK property sector. The platform sits on top of the customer's CRM and runs their day-to-day operational work: prospecting, viewings, maintenance, compliance and arrears. Much of that work runs through a real-time voice agent that answers the phone when the branch can't.
The role
We're looking for a Lead Platform Engineer to work under the Head of Engineering and own the build across the stack. You'll be a great engineer first: the person who builds the hardest things and sets the technical standard.
Agentic AI runs through the heart of the business. The team works in an agentic engineering environment, where developers use Claude Code and AI agents every day, and the product itself is built on agentic pipelines. We expect you to be ahead of the team on this, setting the bar for how we build with AI and constantly raising the standard of quality and features.
What you'll do
Architect, design and build scalable backend systems and APIs across the stack, end to end, from architecture through to production.
Design and maintain microservice and event-driven architectures that support the voice agent's real-time operational workflows.
Lead a small team of engineers: drive their delivery, review their work, and be accountable for what ships.
Set the standard for how the team builds with agentic AI, from Claude Code workflows to the patterns everyone adopts.
Contribute to technical strategy and architecture decisions, working directly with the Head of Engineering on what gets built, how it gets built, and what doesn't get built yet.
Maintain secure, performant and maintainable systems, and reliable data pipelines, as the platform scales across customers.
Get close to the product: understand the property workflows the platform automates, so the systems you build solve the right problems.
Who you are
5-8+ years of hands-on software engineering experience, ideally in AI, SaaS or automation platforms.
A first-class or strong degree in Computer Science, Engineering, Mathematics or a related field.
Already a lead engineer, or very close to it. Y...
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