About this role
The candidate will work as a Fullstack Engineer focusing on AI systems to build end-to-end product features across frontend, backend, and AI integrations. Responsibilities include designing and building stable APIs that integrate with mobile and desktop clients. The technical environment involves working with Python, Node.js, React, Kubernetes, and Docker to manage inference pipelines and orchestration layers. The role requires managing production operations including monitoring, logging, and incident response to ensure high reliability for long-running tasks. The engineer will focus on performance optimization across latency, throughput, and streaming.
Skills & technologies
Must have
- Python
- Node.js
- Role: Full Stack Engineer - React, Node, Python (AI Systems)
- React
- Kubernetes
- Docker
Read full 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
Tech Stack:
- Python
- Node.JS
- React
- Kubernetes
- Docker
If you are interested to find out more, please apply with your CV today
