Senior 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 users
• Developing high-performance front-end interfaces for AI agent control, monitoring and visualisation
• Building scalable backend services that support real-time AI interactions, knowledge retrieval and automation
• Working directly with AI researchers and ML engineers to integrate LLMs and RAG into production-ready applications
• Shipping robust, minimal-dependency code that performs efficiently in enterprise environments
• Continuously 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 applications
• Proficiency in React, TypeScript and Node.js, plus backend development in Python
• Strong knowledge of cloud infrastructure (AWS, GCP or Azure) and scalable architectures
• Understanding of AI-powered applications, including LLMs, chat interfaces and agentic workflows
• Comfort working in a fast-paced, high-autonomy environment, solving complex problems independently
• Strong collaboration skills across engineering, design and AI research

Also Great

• Experience building AI-powered applications with LLM integrations
• Background in high-performance startups or applied AI environments
• A sharp eye for UI/UX and experience building intuitive, AI-driven interfaces
• Experience with GraphQL, WebSockets or real-time data streaming
• Open-source contributions or developer tools built for AI

Why Join

• Direct line to the CTO, with genuine end-to-end ownership over what you ship
• Early-stage equity upside, backed by top-tier investors
• Work on applied AI with real consequences, solving problems in a regulated, high-stakes industry
• A small team scaling fast, with room to shape the product as it grows