Senior Full-Stack Software Engineer

Role: Senior Full-Stack Engineer Location: Remote across UK or Europe Salary: Up to £140k base + equity We're partnered with a fast-growing, well-funded AI startup that just closed an oversubscribed seed round. Their AI agents are already live in production, handling complex, regulated operations end-to-end for financial institutions - not a prototype, and not pre-revenue. The Role As a Senior Full-Stack Engineer, you'll work across the whole stack: building the front-end interfaces that let people control and monitor AI agents, and the real-time backend services that power them. You'll work closely with the ML team on integrating LLMs and retrieval-augmented generation into production, in a small, high-ownership team with no product managers between you and the work. What You'll Be Doing Designing and building full-stack applications that power AI-driven workflows for enterprise usersDeveloping high-performance front-end interfaces for AI agent control, monitoring and visualisationBuilding scalable backend services that support real-time AI interactions, knowledge retrieval and automationWorking directly with AI researchers and ML engineers to integrate LLMs and RAG into production-ready applicationsShipping robust, minimal-dependency code that performs efficiently in enterprise environmentsContinuously iterating on AI-driven products, balancing user needs with technical feasibility The Ideal Candidate Will Have 5+ years of hands-on experience building full-stack production applicationsProficiency in React, TypeScript and Node.js, plus backend development in PythonStrong knowledge of cloud infrastructure (AWS, GCP or Azure) and scalable architecturesUnderstanding of AI-powered applications, including LLMs, chat interfaces and agentic workflowsComfort working in a fast-paced, high-autonomy environment, solving complex problems independentlyStrong collaboration skills across engineering, design and AI research Also Great Experience building AI-powered applications with LLM integrationsBackground in high-performance startups or applied AI environmentsA sharp eye for UI/UX and experience building intuitive, AI-driven interfacesExperience with GraphQL, WebSockets or real-time data streamingOpen-source contributions or developer tools built for AI Why Join Direct line to the CTO, with genuine end-to-end ownership over what you shipEarly-stage equity upside, backed by top-tier investorsWork on applied AI with real consequences, solving problems in a regulated, high-stakes industryA small team scaling fast, with room to shape the product as it grows