Product Engineer in London

Product Engineer in London

London Full-Time 60000 - 75000 € / year (est.) No home office possible
Automated Architecture (AUAR)

At a Glance

  • Tasks: Own the full stack, solving real problems with innovative tech and AI.
  • Company: Join a dynamic start-up focused on revolutionising housing with cutting-edge solutions.
  • Benefits: Enjoy competitive salary, share options, generous leave, and health insurance.
  • Other info: Work on-site 3+ days a week in our state-of-the-art facility in London.
  • Why this job: Make a tangible impact while collaborating with diverse experts in a fast-paced environment.
  • Qualifications: 3+ years in software engineering, fluent in TypeScript, React, and Node.js.

The predicted salary is between 60000 - 75000 € per year.

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.

Product Engineer in London employer: Automated Architecture (AUAR)

As a Product Engineer at our innovative London-based company, you'll thrive in a dynamic environment that champions autonomy and collaboration. We offer competitive salaries, generous leave, and a commitment to employee growth through shared success and a focus on impactful design. Join us in our state-of-the-art R&D facility, where your contributions directly influence the future of manufacturing and robotics, all while being part of a diverse team dedicated to making a positive impact on people and the planet.

Automated Architecture (AUAR)

Contact Detail:

Automated Architecture (AUAR) Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Product Engineer in London

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those that align with the Product Engineer role. This gives you a chance to demonstrate your full-stack capabilities and AI integration.

Tip Number 3

Prepare for interviews by understanding the company’s products and challenges. Think about how you can contribute to solving their problems, especially around operator UIs and AI integration. Tailor your examples to show you’re the right fit!

Tip Number 4

Don’t just apply anywhere; apply through our website! It shows you’re genuinely interested in joining our team and helps us keep track of your application. Plus, it’s a great way to stay updated on new opportunities.

We think you need these skills to ace Product Engineer in London

Full-Stack Development
TypeScript
Node.js
React
Three.js
Python
C++

Some tips for your application 🫡

Show Your Passion for Problem-Solving:When you write your application, make sure to highlight your genuine curiosity about solving real-world problems. We want to see how you've tackled challenges in the past and how you think about the issues operators face.

Be Clear About Your Technical Skills:List out your technical skills clearly, especially your experience with TypeScript, React, and Node.js. We’re looking for someone who can jump into our tech stack, so don’t be shy about showcasing your full-stack capabilities!

Demonstrate Your AI-Native Mindset:Since AI is a big part of this role, share examples of how you've integrated AI into your work. We want to know how you use AI as a tool to enhance your projects and improve outcomes.

Keep It Real and Relatable:We appreciate authenticity! Write your application in a way that reflects your personality. Share your experiences and insights in a conversational tone, and don’t forget to apply through our website for the best chance!

How to prepare for a job interview at Automated Architecture (AUAR)

Understand the Full Stack

Make sure you grasp the full stack of what operators and engineers see. Familiarise yourself with frontend, backend services, APIs, and data pipelines. This will help you articulate how you can contribute to solving real problems during the interview.

Show Your AI Savvy

Since AI is a key part of this role, be prepared to discuss how you've used AI in your previous work. Share specific examples of how you've implemented AI tools to improve workflows or solve complex problems, demonstrating that you’re genuinely AI-native.

Emphasise Collaboration

This role requires working closely with various teams, so highlight your collaborative experiences. Talk about times when you paired with others, like hardware engineers or UX designers, to tackle challenges together. Show that you can balance independence with teamwork.

Be Ready for Ambiguity

The environment is fast-paced and often ambiguous, so prepare to discuss how you thrive in such settings. Share examples of how you've made decisions without perfect information and adapted quickly to shifting priorities. This will show you're a great fit for their dynamic culture.