Full Stack Engineer (AI systems)
Summary
A full stack engineer builds and operates production AI-powered systems end to end — frontend, backend APIs, and AI integrations (inference pipelines, orchestration) — using React, Node.js, Python, and Docker, with a focus on reliability, observability, and performance for long-running AI tasks.
We're looking for an experienced AI Engineer to build systems bringing intelligence to everyday organisation and workflows. Our product emphasises high reliability for long‑running tasks, ongoing context, and task execution.
As a Fullstack Engineer, you will design, build, and operate production systems that transform model capabilities into fast, stable, observable APIs used across mobile and desktop clients.
Role: Full Stack Engineer - React, Node, Python (AI Systems)
Location: UK based remote working
Full Time
Role and responsibilities
- Building end-to-end product features across frontend, backend, and AI integrations
- Building APIs that are stable, well‑designed, and integrate seamlessly with frontend systems
- Detecting production issues, diagnostics, and resolving issues quickly, minimising user impact
- Continuously improving our product based on real usage, increasing performance and reliability over time
- Working on systems that serve AI‑powered features in production
- Inference pipelines, orchestration layers, and service boundaries around models
- Production operations including monitoring, logging, alerting, and incident response
- Performance optimisation across latency, throughput, caching, batching, and streaming
Experience
- Strong engineering fundamentals in production environments
- Familiarity with AI inference patterns (LLMs, embeddings, multimodal systems)
- Ability to debug distributed systems under load
- A bias toward shipping, learning, and iterating from real production behaviour
- Python
- Node.JS
- React
- Docker