Senior Python Backend Engineer

5 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.apply4u.co.uk

Tech stack

Artificial Intelligence Microsoft Azure NoSQL Software Product Management Data Logging Delivery Pipeline Large Language Models Backend Automation Anywhere Docker

Job description

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

Requirements

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.