Reference: 50878Senior Python Backend Engineer (AI / LLMs)
Remote (United Kingdom) | Permanent | Flexible compensation + equity
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 workflowsPersistent contextMulti-step task executionIntegration 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 Role
This role sits in the backend layer that connects models to the product.
The focus is on designing and operating systems that enable:AI workflows to run end-to-endAPIs to serve AI features consistentlySystems to perform reliably under real usage conditions
You’ll be working on:Inference pipelines and orchestration layersBackend services for AI-driven workflowsPerformance considerations such as latency, throughput, batching and cachingMonitoring, logging and production reliabilityWhat They Care About
The hiring bar is centred around real production experience:Whether you have owned backend systems end-to-end in productionYour experience working with AI systems beyond simple integrationYour exposure to practical challenges such as:latency and throughput optimisationmonitoring and observabilitydebugging and incident handlingscaling systems in production environmentsTech EnvironmentPython (primary backend language)Node.jsSQL / NoSQL databasesLLM ecosystem (OpenAI, Anthropic, etc.)Docker and KubernetesAWS, Azure or GCP is fine
The emphasis is on how you design and run systems, rather than the specific cloud used.Team & Working StyleFully remote-first, work from anywhereSmall, highly capable engineering teamStrong emphasis on ownership and deliveryComfortable working in evolving systems and making pragmatic decisions.
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Posted 4 days ago by Nicoll Curtin