Founding Python Back-End Engineer – £80,000 to £120,000+ (On site - London Bridge)

Most engineers build predictable products and systems. The ambitious ones build those that few people have yet thought about.

This is an opportunity to join a tight-knit founding team in stealth mode, obsessed with transforming AI economics — working together in person, at a rapid pace, and with vision.

The product is already in use by select customers with demands few can meet, and the only thing holding back 10x growth is the need for more driven hands on deck.

The mission: deliver multimodal AI agent infrastructure that ingests, processes, and analyses millions of real-time events, surfacing actionable insight for the most ambitious businesses.

Why You?

You bring deep Python engineering excellence and an appetite for building systems from the ground up. This is your chance to architect the backend for a real-time analytics platform, translating high-velocity streams of data into clear, actionable intelligence for operators and engineers.

If you thrive on tackling ambiguous problems and owning outcomes in a fast-moving environment, you belong here.

What Will You Build?

Python-powered core infrastructure for ingesting, processing and analysing massive real-time data streams; think millions of cost and revenue events daily.

Reliable APIs and streaming pipelines that support complex analytics and live dashboards for insight and transparency.

Machine learning backbone for anomaly detection, predictive margin analysis, and scalable attribution graphs.

Close collaboration with founding engineers—defining product standards and influencing company direction from the ground up.

Who’s the Ideal Fit?

• Knack for figuring out hard problems, moving quickly, and handling the creative chaos of early-stage product development.
• Minimum 3+ years building and scaling distributed, data-heavy backend systems in production environments.
• Advanced Python and experience with real-time event-driven architecture, modern SQL/NoSQL databases, REST/GraphQL APIs, and cloud infrastructure (AWS, GCP, Docker, Kubernetes).
• Obsession with reliability, scalability, security, and observability in backend systems.
• Bonus: Experience with machine learning infrastructure or agentic AI.

Why Join?

• You get to say you were there in the early days. 
• Work on technology that shapes how top-tier companies make product and business decisions in real time.
• Very healthy salary for an early-stage business and a strong equity offering.
• Private health care, pension, and runway for long-term growth.

NOTE: London-based, in-person team (London Bridge)—working together, learning fast, iterating constantly (4 days/week in office). 

If You’re Ready:

Send your CV to [email protected] with the subject “I work best in 3D” and include Python project examples that showcase what you can do at the frontier.