At a Glance
- Tasks: Own end-to-end problems, redesign mobile experiences, and build innovative AI-driven systems.
- Company: Join a fast-growing tech startup revolutionising data collection for field workers.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Dynamic team culture with a focus on innovation and collaboration.
- Why this job: Make a real impact in the AI space and shape the future of inspection software.
- Qualifications: 5+ years of experience in software engineering and a passion for hands-on problem-solving.
The predicted salary is between 70000 - 90000 £ per year.
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 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.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Generative or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Generative.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Generative.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Generative that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Software Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Generative.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Generative and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Generative
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Generative uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
