Permanent position: Senior Full Stack Engineer (AI Systems)

Senior Full Stack Engineer (AI Systems)
Remote (United Kingdom) | Permanent | Flexible compensation (DOE) + bonus + equity

We're working with a well-funded AI-first technology business building systems that go beyond traditional chatbot experiences and execute real-world workflows autonomously.

The team is building AI-native products designed to handle long-running tasks, maintain context over time, interact with external systems, and reliably help users achieve goals with minimal prompting.

This is a highly product-focused engineering role where you'll help turn AI capabilities into dependable user experiences that work consistently in production.

The Opportunity

This role sits at the intersection of:

• AI systems
• Product engineering
• User experience
• Backend workflows

You'll be responsible for building the product layer that connects AI systems to real user outcomes.

Areas of responsibility include:

• Building end-to-end product features across Front End, Back End, and AI systems
• Designing agent workflows that handle planning, tool use, recovery, and multi-step execution
• Integrating LLMs, retrieval systems, memory, and external services into user-facing products
• Designing Real Time AI interactions, including streaming and partial responses
• Building resilient user experiences through fallback and recovery mechanisms
• Continuously improving AI workflow performance based on production usage and feedback
• Collaborating closely with ML, Back End, and product teams to ship features end-to-end

What They're Looking For

The team is particularly interested in engineers who have built AI-powered products used by real users.

Examples of relevant experience include:

• LLM-powered applications
• Retrieval-Augmented Generation (RAG)
• Agentic workflows
• Multi-agent systems
• Tool calling and orchestration
• AI assistants
• Workflow automation
• Vector databases and semantic search
• AI evaluation and monitoring
• Real Time user interactions

Technical Environment

• Next.js
• Python
• Node.js
• SQL/NoSQL
• OpenAI, Anthropic and open-source LLMs
• DevOps - Docker/Kubernetes
• AWS, Azure or GCP

Compensation

Compensation is intentionally flexible and assessed based on experience, ownership, and production impact.

The package includes:

• Competitive base salary
• Performance-based bonus
• Equity
• Fully remote working
• Private healthcare
• Pension contribution
• Dental/Vision/Life insurance
• Generous paid holiday allowance