Software Engineer

About

This team is building an AI Operating System that autonomously runs entire companies - every revenue motion, every product decision, every operational function - with compounding intelligence across all of them.

The core insight: truly consequential AI requires context no outside vendor can access. Real decisions need CRM records, support tickets, customer communications, contracts, finance data, product telemetry, market signals, audit logs – dozens of dimensions, deeply connected.

They’ve solved that structurally. Instead of selling software from the outside, they acquire B2B software companies and embed the system directly inside them. That gives the AI full access to live data, real feedback loops, and the organisational depth needed to encode business intuition over time. Every acquisition deepens the intelligence. Every agent compounds it.

The work spans enterprise data ingestion, pipeline reliability, model orchestration, agent execution, and the practical architecture trade-offs around latency, cost, and performance. The engineering team is small today (~5, scaling to ~15), so new hires will own core parts of the system early.

The founders have a strong track record, including a prior multi-billion exit. The business is already generating meaningful revenue across its portfolio.

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
• 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.