At a Glance
- Tasks: Join us to build AI systems that revolutionise aircraft maintenance and safety.
- Company: Fleetcraft is a fast-growing startup at the intersection of aerospace and AI.
- Benefits: Highly competitive salary, visa sponsorship, and flexible work environment.
- Other info: Dynamic team culture with opportunities for personal and professional growth.
- Why this job: Shape the future of aviation with cutting-edge technology and real-world impact.
- Qualifications: 2+ years in software development, experience with AI systems, and strong full-stack skills.
The predicted salary is between 100000 - 180000 £ per year.
Fleetcraft builds the critical infrastructure for the next generation of aircraft.
Aerospace is in a once-in-a-lifetime transformation. OEMs have decade-long backlogs, new manufacturers are racing to market, and demand for spaceflight is surging. Meanwhile the industry is hundreds of thousands of technicians short, and the systems used to maintain and manufacture aircraft are slow, manual, and largely unchanged in decades.
We're building the systems that work alongside technicians, understand the aircraft, and keep the hangar moving.
Our team has helped launch airlines and put satellites into orbit. Our aviation advisory board has run major aircraft OEMs, led airworthiness at Gulfstream, and overseen training facilities that educate a quarter of all aircraft mechanics in the US.
Susa Ventures led our seed alongside Liquid 2 VC, early backers of Anduril and Stoke Space. We've raised a $5.3M seed round and are on track for our Series A.
What you’ll do
You’ll build and scale the core systems aircraft technicians use every day: deciding the architecture, writing the code, and sitting in the hangar watching people use it.
- Build and scale the core systems that aircraft MROs rely on every day.
- Build AI agent systems end-to-end, from voice interfaces on the hangar floor to workflow orchestration across maintenance operations.
- Own projects from architecture to deployment, with autonomy over technical decisions.
- Own reliability: infrastructure, observability, and evals for AI in a regulated industry.
- Turn aerospace data into trusted pipelines, from maintenance manuals and work orders to airworthiness directives and parts catalogues.
- Stay at the frontier by adopting new model capabilities and improving the team's tooling.
- Talk to technicians, maintenance managers, and regulators, then turn what you learn into product decisions.
What you’ll need
- 3+ years of full-stack experience.
- Ability to build high-quality software fast.
- A co-owner mindset. We'll give you the customer context and the autonomy to find the best path forward, and expect you to own the outcome.
- You learn fast. Aerospace experience isn't required.
- You're pragmatic and structured.
Strong plus
Early-stage experience, competitive programming, trading, building agents.
Tech stack
FastAPI · Pydantic · TypeScript · React · OpenAI / Anthropic · PostgreSQL · Turbopuffer · Promptfoo · Azure
What we offer
£100k–£120k salary plus meaningful early-stage equity.
Modern tools, real-world impact in a regulated industry, and the chance to define how AI transforms aerospace from the ground up.
We are a small, high-trust team where your decisions move the whole company forward. If you're energised by building production AI systems that solve hard, real-world problems - and you want the ownership and pace that only comes from being early at something important, we'd love to talk.
We're unable to offer visa sponsorship for this role.
Fleetcraft is an equal opportunities employer.
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Founding Engineer in London employer: Fleetcraft
Fleetcraft is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from competitive salaries, equity options, and ample opportunities for professional growth, all while working on impactful AI-driven projects that shape the future of customer implementations. Join a team that values adaptability and technical expertise, making every day a rewarding experience.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the aerospace and AI sectors, especially those connected to Fleetcraft. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to AI or full-stack development, make sure to highlight them. Real-world examples of your work can speak volumes.
✨Tip Number 3
Prepare for the interview process! Familiarise yourself with the tech stack mentioned in the job description. Brush up on Python, FastAPI, and MLOps tools so you can impress during technical interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Fleetcraft team.
We think you need these skills to ace Founding Engineer in London
Some tips for your application 🫡
Show Your Passion for AI and Aerospace:When writing your application, let us see your enthusiasm for AI and how it can transform the aerospace industry. Share specific examples of projects or experiences that highlight your interest and expertise in these areas.
Tailor Your Experience to Our Needs:Make sure to align your skills and experiences with what we’re looking for. Highlight your full-stack development experience and any hands-on work with AI systems, especially if you’ve worked in fast-paced environments before.
Be Authentic and Personal:We want to get to know the real you! Don’t be afraid to inject some personality into your application. Share your journey, what drives you, and why you’re excited about joining our team at Fleetcraft.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Fleetcraft
✨Know Your Tech Stack
Familiarise yourself with the core technologies mentioned in the job description, like Python, FastAPI, and TypeScript. Be ready to discuss your hands-on experience with these tools and how you've used them to build full-stack products.
✨Showcase Your Problem-Solving Skills
Prepare examples of real-world problems you've solved using AI systems or MLOps tools. Fleetcraft values practical applications over theoretical knowledge, so highlight how your work has made a tangible impact.
✨Emphasise Autonomy and Ownership
Since the role requires high trust and ownership, be prepared to discuss situations where you've taken initiative and made decisions that positively affected your team or project. Show that you thrive in ambiguous environments.
✨Connect with Their Mission
Fleetcraft is all about enhancing access to the sky through AI. Research their mission and think about how your passion for building usable products aligns with their goals. This will help you stand out as a candidate who truly understands and cares about their vision.
