NB: This role is based in London office, 5 days per week, no visa support is available. We’re looking for a Backend Engineer to join an early-stage, revenue-generating AI-driven SaaS platform. Backend engineers who love owning systems end-to-end, want early-stage equity upside, and thrive in fast-moving environments.
Scope, build, ship, and iterate on backend services and infrastructure that power our core product. Build scalable infrastructure for AI agent systems, dialer infrastructure, and intelligent pipelines that handle thousands of concurrent operations. Design and implement core backend systems including APIs, databases, event processing, and real-time data pipelines that support the product. Collaborate with frontend engineers and product leadership to translate customer needs into technical architecture and implementation. Own reliability and performance : Contribute to technical direction and engineering standards, helping shape how we approach problems and build systems. Ship regularly and iterate : Build the dialer infrastructure, agent systems, intelligence pipelines, and data processing engines that only a few companies have needed to construct. Strong technical foundation : You’ve built complex systems at scale – whether at a top-tier tech company, in a startup, or through ambitious projects. Proof of building something significant matters more than pedigree. Deep knowledge of data structures, algorithms, system design, and performance trade-offs. AI/LLM experience (a plus) : Experience building with AI agents, RAG systems, or LLM-powered features is valuable but not required. You’ve shipped something meaningful on your own—a project, open source tool, or business—and you drive work from conception to production. Comfortable with modern backend languages and frameworks, plus exposure to databases and infrastructure tooling. Strong fundamentals matter more than a specific language. Professional software engineering experience : Strong backend and full-stack web development skills : Comfortable building scalable servers, APIs, and databases. Computer science fundamentals : Solid grasp of data structures, algorithms, system design, and performance optimization. TypeScript/JavaScript or equivalent : Production experience with modern backend languages and frameworks. Database and infrastructure knowledge : Experience designing schemas, optimizing queries, and working with modern databases (SQL/NoSQL). Office-first culture : Based in London, 5 days per week. Academic foundation in computer science or equivalent self-taught depth.
Build infrastructure that most engineers have only read about—dialer systems, AI agents, real-time intelligence pipelines. A handful of engineers with significant autonomy shipping systems that power outcomes for hundreds of customers. Opportunity to grow :…