Founding Engineer

This is an early-stage AI business building software for receivables finance. Its mission is to make invoice finance scalable, automated, and far less manual, so that businesses can access the working capital they are already owed and lenders can underwrite, verify, collect and reconcile invoices with greater speed and confidence.

The company is focused on solving a large but operationally heavy problem: lenders still rely on spreadsheets, fragmented data, and manual workflows to assess risk and fight fraud. The team is building with long-term impact in mind, prioritising quality, robustness and thoughtful system design over quick wins. It values ownership, intellectual range, and the courage to build systems that have not been built before.

The culture is highly collaborative, intense, and early-stage by nature, with people expected to contribute directly to the company’s DNA.

What the job entails

As a Founding Engineer, you will help build and harden the core platform across four interconnected systems that create one operating picture of every invoice. This is a backend-led, full-stack role with direct client exposure, operating as a forward deployed engineer and working closely with lenders throughout onboarding, deployment and expansion.

You will be responsible for building the knowledge and data ingestion engine that normalises messy invoice data, developing dynamic underwriting and risk models that update as invoices are funded and paid, and improving emotionally intelligent voice AI for collections. You will also own lender relationships end to end, using customer feedback to shape the product. A major part of the role is defining the underlying data architecture and reusable components that reduce time to deployment across customers.

This is a role for someone who can reason across systems, move quickly in a production environment, and help set the technical foundations of the company.

Key requirements / What we look for

• Strong backend and system design fundamentals; production-grade engineering experience
• Experience with Next.js / React, Python / FastAPI, PostgreSQL and AWS
• Experience with distributed systems, agentic AI, evaluation pipelines, search/retrieval, and time series analysis
• Comfortable working in person in London or New York; visa sponsorship available
• Communicative, collaborative, humble, and able to take ownership with limited direction