About the role
About Fleetcraft
We're building the critical infrastructure for the next generation of aircraft.
Aerospace demand is surging. OEMs have decade-long backlogs, new manufacturers are racing to market, and the industry is hundreds of thousands of technicians short.
The world needs more aerospace capacity, but the systems used to maintain and manufacture aircraft are slow, manual, and barely changed in decades. Fleetcraft is the full system to operate and manage aircraft maintenance. Our agents already work alongside technicians and controllers in 10+ maintenance organisations across 4 continents. They capture the repair as it happens and turn expertise into intelligence the whole operation can use.
Our seed was led by Susa Ventures, alongside Liquid 2 VC, early backers of Anduril and Stoke Space. You'll work with a team that has helped launch airlines and put satellites into orbit, and with an aviation advisory board whose members have run major aircraft OEMs, led airworthiness at Gulfstream, and overseen training facilities that educate a quarter of all aircraft mechanics in the US.
What you'll do
You'll build and scale the core systems aircraft technicians and planners 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
£90k–£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.
Interview process
Initial screening interview with a co-founder (30 min)
Technical interview (75 min)
In-person interview and technical assessment (3 hrs)
After the in-person meeting we check references and then make an offer.
We're unable to offer visa sponsorship for this role.
Fleetcraft is an equal opportunities employer.
Find more English Speaking Jobs in United Kingdom on Arbeitnow
We're building the critical infrastructure for the next generation of aircraft.
Aerospace demand is surging. OEMs have decade-long backlogs, new manufacturers are racing to market, and the industry is hundreds of thousands of technicians short.
The world needs more aerospace capacity, but the systems used to maintain and manufacture aircraft are slow, manual, and barely changed in decades. Fleetcraft is the full system to operate and manage aircraft maintenance. Our agents already work alongside technicians and controllers in 10+ maintenance organisations across 4 continents. They capture the repair as it happens and turn expertise into intelligence the whole operation can use.
Our seed was led by Susa Ventures, alongside Liquid 2 VC, early backers of Anduril and Stoke Space. You'll work with a team that has helped launch airlines and put satellites into orbit, and with an aviation advisory board whose members have run major aircraft OEMs, led airworthiness at Gulfstream, and overseen training facilities that educate a quarter of all aircraft mechanics in the US.
What you'll do
You'll build and scale the core systems aircraft technicians and planners 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
£90k–£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.
Interview process
Initial screening interview with a co-founder (30 min)
Technical interview (75 min)
In-person interview and technical assessment (3 hrs)
After the in-person meeting we check references and then make an offer.
We're unable to offer visa sponsorship for this role.
Fleetcraft is an equal opportunities employer.
Find more English Speaking Jobs in United Kingdom on Arbeitnow
Requirements
- Engineering