We're building the AI-native data collection layer for the 2 billion field workers who inspect the physical world — factories, chemical plants, infrastructure — and currently spend hours turning notebook scribbles into reports. We're radically simplifying how field data is captured, decisions are made, and reports are produced, while building one of the world's largest datasets on the condition of the built world.
It's a $2T market and we're just getting started: revenue has grown 5x in the last year, and we work with several of the top companies in the space, including major names in aerospace and pharma. We've raised a well‑backed Series A from a top‑tier US VC fund, and our team includes founders and operators from Imperial, Carnegie Mellon, Oxford, Goldman Sachs, Flexport, and Amazon.
About the role
You’ll own problems end to end — not handed tickets and told to stay in your lane. You’ll talk to users, decide what matters, design the solution, ship it, and see whether it worked. We work in person five days a week because we believe being together helps us move faster and solve problems more effectively.
We’re looking for people who want to help invent what inspection software should look like in a post‑AI world.
What you’ll do
- Spend time with inspectors in the field — factories and chemical plants — to understand how they work and redesign the mobile experience with them
- Build systems that take voice notes, photos, and videos and proactively finish reports without being annoying
- Engineer how context is fed to AI models: how to store, fetch, and select standards, reports, media, and user intention
- Evolve our internal workflow builder — think something between Retool, Webflow, and n8n, built for inspections
- Design the architecture behind the product: how unstructured data flows through the system, how AI is integrated, how offline/online behaviour stays seamless, and how we keep the product simple as it becomes more powerful
Who you are
- 5+ years of experience, with enough scar tissue to know which technical decisions actually matter
- Deeply technical — you’re a little sad that AI tooling creates more distance between you and the code, and you want to own problems end to end
- A highly agentic manager of one — you care more about shipping results than collecting badges
- Comfortable and energised by an early‑stage, unstructured environment where the roadmap isn’t handed to you
Senior Software Engineer - Field Data & AI Platform employer: Generative
As a Machine Learning Researcher at our London-based AI lab, you'll be part of a dynamic and ambitious team dedicated to solving significant scientific challenges through innovative AI solutions. We foster a collaborative and inclusive work culture that values curiosity and low ego, offering flexible hybrid working arrangements and opportunities for professional growth in a supportive environment. Join us to make a tangible impact from day one, as you contribute to cutting-edge research that accelerates the discovery of commercially valuable materials.
