Nicoll Curtin · Moffat, United Kingdom ·
Senior Python backend engineer joining a small remote-first team building a new AI product: you design and run the backend layer that turns LLM capability into reliable product behaviour — inference pipelines, orchestration, and APIs for long-running, multi-step workflows. Stack: Python, Node.js, SQL/NoSQL, Docker/Kubernetes, any major cloud.
Hey Recruiting Agency · India
AMS Accelerate IT · Bucharest, Romania
onhires · Remote - Ukraine
Magma Holding Company · Bangalore, India
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.
Achieve Group · Singapore, Singapore