Full Stack Engineer (AI / LLM, React + Python)

Reference: 50879 Full Stack Engineer (AI Systems) – Remote (Global)We’re working with a well-established, tech-led business that is building a new AI product focused on handling real-world tasks, workflows and decision-making.

If you want to know about the requirements for this role, read on for all the relevant information.
This is a small, high-calibre team building systems where AI capability is translated into reliable, structured product behaviour, with a strong emphasis on execution and consistency in real usage.
The product focuses on:Long-running workflows
Persistent context
Multi-step task execution
Integration with external systems
The core challenge is designing systems that can apply model capability in a structured and reliable way, even when behaviour is non-deterministic.
The RoleThis role sits at the product layer, connecting backend systems, AI capability and the end-user experience.
The focus is on building systems that enable:AI workflows to run end-to-end within the product
User-facing features that behave consistently under real usage
Real-time interaction with AI-driven systems
You’ll be working on:End-to-end product features across frontend and backend
Agent workflows, including planning, tool usage, failure handling and recovery
Integration of LLMs, memory and external systems into user-facing flows
Real-time interactions, including streaming responses and partial updates
Reliability and fallback behaviour within the product experience
What They Care AboutThe hiring bar is centred around real production experience:Whether you have built and shipped features end-to-end
Your experience working with AI-powered applications beyond simple API usage
Your ability to handle practical challenges such as:
ambiguity in product requirements
failure and recovery in AI workflows
maintaining consistent behaviour in real-world usage
Tech EnvironmentNext.js / React
Python and Node. xbpsjku js
SQL / NoSQL databases
LLM ecosystem (OpenAI, Anthropic, etc.)
Docker and Kubernetes
AWS, Azure or GCP is fine
The emphasis is on how you design and ship product features, rather than any single technology.Team & Working StyleRemote-first
Small, highly capable engineering team
Strong emphasis on ownership and delivery
Comfortable working across frontend, backend and evolving systems