Software Engineer (up to £100k)

The Role

This company is building the intelligence layer for payment fraud. They’re tackling a hard problem: orchestrating real-time evidence gathering from messy sources, synthesizing it with AI, and delivering confident verdicts fast enough for major UK banks. Backed by leading VCs, their ambition is to scale this protocol across billions of global transactions. You’ll join a small, high‑calibre engineering team, owning the core of this system. This means end‑to‑end responsibility for the APIs and UIs banks use, the orchestration layer coordinating diverse data, and the AI agents driving live investigations. This isn’t a feature factory; it’s a chance to design, build, ship, and iterate on critical infrastructure.

The Work

• Design and build the APIs and UIs that integrate a real-time investigation engine into major bank payment flows.
• Architect and implement the orchestration layer, coordinating evidence from heterogeneous, often unstructured, data sources.
• Develop and deploy AI agents that drive live fraud investigation flows, ensuring rapid, confident verdicts.
• Ensure 24/7/365 uptime for critical, fault‑tolerant distributed systems handling billions of transactions.
• Drive product outcomes, translating ambiguous problems into shippable solutions without waiting for perfect specs.

What You Bring

• 5+ years of engineering experience, ideally in an early‑stage environment where you owned outcomes, not just tickets.
• Proven track record building fault‑tolerant distributed systems with critical uptime requirements (24/7/365).
• A strong product ownership instinct: you identify the smallest useful thing to ship and drive it to completion.
• Proficiency in Python and TypeScript/React. You’re comfortable with GCP, Terraform, and SQL, but your systems judgment is paramount.
• Comfort making and defending consequential architecture decisions in a fast‑moving, small team.

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