Product Engineer

As a Product Engineer, you will own the full stack of what operators and engineers see — the frontend, the workflow, and the problem they solve. You will be in the room with the Software Engineers, UX designers, robotics developers, and construction experts, asking: What problem does this operator actually have? How do we solve it? And then you will build it. You will be reaching into backend services, APIs, and data pipelines as needed to deliver your full vision. You will be testing on the factory floor. You'll pair directly with hardware engineers, operators, and designers — especially when debugging next to the robot. AI is the third axis of this role. We're looking for someone genuinely AI-native: you use it as a default in your own work, implement agents that improve the development stack, and raise the collective AI capability of the team.

In the product, you build machine intelligence where it changes what operators can actually do, and push back where it doesn't. You can tell the difference between a capability that genuinely shifts how someone works and one that sounds impressive in a demo. And you're thinking ahead: as AUAR integrates vision-language models for robotics, the interface may shift — command bar instead of dropdown, voice-first instead of click-driven. You build systems that can evolve with the underlying AI.

Problems you'll work on:

• Operator UIs for production control.
• Interfaces for monitoring production runs and recovering from failures mid-run — with no QA buffer between your code and the factory floor.
• Design validation.
• An AI layer that flags manufacturing issues before they reach the floor.
• Failure recovery.
• Production insight on demand.

What good looks like:

• You ship working code every day, not perfect code eventually.
• You step back from a feature and say "this isn't solving the problem" and redesign it.
• You write UI that operators actually want to use, because you've watched them try to use it.
• You move between "why is this button in the wrong place" and "how do we structure this data pipeline" without losing your thread.
• You feel the stakes. A bug you miss could break a production run 200 miles away.
• AI is a natural part of how you work - in your own workflow and in what you build.

Who this is for:

• You've built software that has to work, not just look good.
• Your background might be shipping production software at scale, building tools where the feedback loop between code and outcome is immediate, or a domain like architecture or engineering where you learned to code because you wanted to automate something.
• What matters more than your background: you think in problems, not tasks.
• You make decisions without perfect information.
• You're independent enough to pick up a problem and run with it, but collaborative enough to know when to ask.
• You are either already comfortable with our stack - TypeScript/Node backend, React + Three.js frontend, Python/C++/RAPID on the robotics side - or motivated and able to learn fast.
• You don't need manufacturing or robotics experience. You need genuine curiosity about how physical systems work.
• This role suits people who thrive with ambiguity and quick iteration.

Requirements:

• 3+ years of professional software engineering with genuine full-stack capability.
• Fluency in TypeScript, React, and Node.js.
• A native relationship with AI tooling.
• Early-stage start-up experience, or a clear-eyed understanding of what you're signing up for.
• A willingness to be on site 3+ days a week on our factory floor, in Blackhorse Road, London.

What We Offer:

• Competitive salary based on experience.
• Share options so we all grow together.
• Generous leave: 28 bookable days + bank holidays + seasonal office closure.
• Health and dental insurance via Bupa.
• Pensions with Smart Pensions.
• An 11,000 sq ft R&D and demonstration facility in E17.
• High autonomy, high accountability, and a team that takes the mission seriously.

You must have the right to work in the UK to apply for this job. We’re proud that 50% of our technical team and 50% of our leadership are women. We believe great work comes from diverse perspectives, and we hire on potential, as much as experience. If part of this role speaks to you, apply. Let’s make housing better, together. We are committed to creating an equitable, inclusive and diverse workplace.