Full Stack Engineer, AI Systems

Digitalwaffle — United Kingdom · Posted ~3 hours ago

Senior Full-time Remote Visa History ✓ £150000-£200000

Skills

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

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Summary ✨ AI‑Generated

Work remotely within the UK as a full-stack engineer building production AI systems that support long-running tasks and ongoing context. You’ll develop end-to-end features with React, Node.js, and Python, create stable APIs, integrate AI capabilities, and continuously improve performance, reliability, diagnostics, and observability.

Highlights

Build and operate production AI systems with a strong emphasis on reliability, observability, performance, and stable APIs. The role is fully remote within the UK and combines frontend, backend, and AI engineering.

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 £150,000 - £200,000 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