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Senior Software Engineer
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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
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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
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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
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Jessica, London
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