The Product Engineer Role
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: panel geometry that wastes 40% of a sheet, assembly sequences that create physical bottlenecks, configurations that pass structural checks but fail at production.
- Failure recovery. When the MicroFactory hits a fault mid-run, the operator decides what to do. An AI that reads camera and sensor feeds and proposes a recovery path — or for simple faults, executes it automatically — changes how operators work under pressure.
- Production insight on demand. A natural language interface over live production data so operators can get answers fast when things are moving fast.
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. That clarity sharpens how you code.
- AI is a natural part of how you work - in your own workflow and in what you build. You don't need to be told to reach for it.
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. If you need a detailed spec before starting, or if you're primarily motivated by optimising scale and metrics, this probably isn't the right environment.
- 3+ years of professional software engineering with genuine full-stack capability — comfortable shipping excellent user-facing software and equally comfortable in backend services, APIs, and data models.
- Fluency in TypeScript, React, and Node.js.
- A native relationship with AI tooling: using it where it helps, knowing when it doesn't.
- Early-stage start-up experience, or a clear-eyed understanding of what you're signing up for: fast-moving, shifting priorities, work that doesn't fit a job description. For the right person, that's the point.
- 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, where you work alongside the hardware you're building for
- High autonomy, high accountability, and a team that takes the mission seriously
- #ownyourmission — we take responsibility and execute with focus and urgency.
- #forpeopleandplanet — we strive to do the best for people and planet.
- #buildtogether — we succeed through deep collaboration with our team, partners, and customers.
- #gooddesign — we centre good design in everything we do, holistically.
- #beboldberadical — we think creatively; we are ambitious, bold, and radical.
- Initial Application
- Hiring Manager Call (45 minutes)
- Working Session & Values Interview (1 hour)
- Final Founder Interview (30 minutes)
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. We intend to run an equal, fair and inclusive hiring process. If you feel there is any area we could improve, please let us know at info@uar.io.
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