Full Stack Engineer (AI systems)

Digital Waffle; United Kingdom; Remote; GBP 55,000 - 75,000; Full time

Job summary

Digital Waffle is seeking an experienced Full Stack Engineer to design, build, and operate production systems that turn model capabilities into fast, stable, observable APIs used across mobile and desktop clients. The role emphasizes reliability for long-running tasks, ongoing context, and seamless AI integration.

Based in the UK, this remote, full-time position requires strong Python, Node.js, and React skills, plus Docker and a bias toward shipping and iterating from real production behaviour.

Qualifications

• Experience with production-grade systems used in AI-powered applications.
• Familiarity with AI inference patterns (LLMs, embeddings, multimodal systems).
• Ability to debug distributed systems under load.

Responsibilities

• Build end-to-end product features across frontend, backend, and AI integrations.
• Create stable APIs that integrate with frontend systems.
• Detect production issues and diagnose them to minimise user impact.
• Improve product performance and reliability based on real usage.
• Work on systems that serve AI-powered features in production.
• Manage inference pipelines, orchestration layers, and model boundaries.
• Handle production operations including monitoring, logging, alerts, and incident response.
• Optimize latency, throughput, caching, batching, and streaming.

Skills

Python

Node.JS

React

AI inference patterns

Distributed systems

Debug production systems

Tools

Docker

Job 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

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