Summary
✨ AI‑Generated
A software engineering opportunity focused on building infrastructure for an advanced AI system designed to automate complex business operations. The work spans enterprise data ingestion, reliable pipelines, model orchestration, agent execution, and practical architecture trade-offs. It is suited to engineers interested in solving difficult systems problems at the intersection of software, data, and artificial intelligence.
Highlights
Opportunity to work on ambitious AI infrastructure spanning enterprise data ingestion, reliable data pipelines, model orchestration, autonomous agent execution, and complex architecture decisions.
Description
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.
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 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 platformDesign APIs, data models, integrations, and workflows across messy company systemsTurn ambiguous business problems into clear technical components that can be automatedWork across Ruby, Python, Rust, TypeScript, and React depending on the problemShip production features that affect revenue, retention, and operational efficiencyImprove reliability, scalability, and developer speed as the platform expandsCollaborate 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 systemsExperience in a high-bar startup, scale-up, or top engineering environmentStrength in backend engineering; full-stack ability is usefulLanguage agnostic mindset — use the best tool for the jobComfort with ambiguity, fast iteration, and making sensible technical trade-offsProduct 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 systemsExposure to data-heavy platforms, ontology layers, or workflow orchestration
Shortlisted candidates will be contacted within 48 hours.
