About
Most AI products never get past demos. This team is building something more concrete: a shared operating system that plugs into acquired B2B software companies, ingests messy data across finance, product, support, and GTM systems, and turns it into workflows that improve how those businesses actually run.
The company is profitable, already operating at meaningful scale, and building the platform with a very small central engineering team in London. It is still early on the product side — only a small fraction of the long-term system exists today — so the work has a real 0?1 feel without the usual “build first, find users later” risk.
This is a high-bar, high-ownership environment. Strong engineers get a lot of scope. The trade-off is limited flexibility on office time and a pace that will suit ambitious builders more than people looking for a relaxed setup.
What you’ll do
- Build core backend and product systems for an internal AI operating platform
- Design APIs, data models, integrations, and workflows across messy company systems
- Turn ambiguous business problems into clear technical components that can be automated
- Work across Ruby, Python, Rust, TypeScript, and React depending on the problem
- Ship production features that affect revenue, retention, and operational efficiency
- Improve reliability, scalability, and developer speed as the platform expands
- Collaborate closely with product, commercial, and leadership teams on what gets built
What you’ll need
- Strong software engineering fundamentals and a track record of shipping real systems
- 3–8 years of experience in a high-bar startup, scale-up, or top engineering environment
- Strength in backend engineering; full-stack ability is useful
- Language agnostic mindset — use the best tool for the job
- Comfort with ambiguity, fast iteration, and making sensible technical trade-offs
- Product sense and the ability to think beyond ticketsWillingness to work mainly from the London office
Optional Bonus
- Experience with AI products, LLM workflows, or agent-style systems
- Exposure to data-heavy platforms, ontology layers, or workflow orchestration
Shortlisted candidates will be contacted within 48 hours.
