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Full-Stack AI Engineer

Digitalwaffle — United Kingdom · Posted ~10 hours ago

Senior Full-time Remote Visa History ✓ £130K+

Skills

React Node.js Python Full-stack development AI integration API development Production systems Observability Diagnostics Performance optimization Reliability engineering AI APIs

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Summary ✨ AI‑Generated

A UK-based technology team is seeking an experienced Full-Stack Engineer to build reliable production systems that turn advanced AI capabilities into fast, stable, observable APIs. You will work across React, Node.js, Python, frontend and backend systems, AI integrations, diagnostics, performance, and reliability while building features for mobile and desktop experiences.

Highlights

Fully remote UK-based role with compensation starting above £130k. The position offers end-to-end ownership across frontend, backend, and AI integrations, with a strong focus on production reliability, observability, performance, and building systems for long-running AI workflows.

Description

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 £130k+ Role and responsibilities Building end-to-end product features across frontend, backend, and AI integrationsBuilding APIs that are stable, well‑designed, and integrate seamlessly with frontend systemsDetecting production issues, diagnostics, and resolving issues quickly, minimising user impactContinuously improving our product based on real usage, increasing performance and reliability over timeWorking on systems that serve AI‑powered features in productionInference pipelines, orchestration layers, and service boundaries around modelsProduction operations including monitoring, logging, alerting, and incident responsePerformance optimisation across latency, throughput, caching, batching, and streaming Experience Strong engineering fundamentals in production environmentsFamiliarity with AI inference patterns (LLMs, embeddings, multimodal systems)Ability to debug distributed systems under loadA bias toward shipping, learning, and iterating from real production behaviour Tech Stack: PythonNode.JSReactKubernetesDocker If you are interested to find out more, please apply with your CV today