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

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Posted 2 weeks ago
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About the role

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. 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.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

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