> Markdown version of [/jobs/ext/3667399-backend-engineer](https://www.wearedevelopers.com/jobs/ext/3667399-backend-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # backend engineer - **Company:** LinuxRecruit - **Location:** London, UK - **Experience:** Experienced - **Salary:** £80,000.0 - £150,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Batch Processing, Databases, Distributed Systems, PostgreSQL, Performance Tuning, Queueing Systems, Data Streaming, AI Infrastructure, ReactJS, Large Language Models, Backend, Kotlin, Webpack, Front End Software Development - **Published:** October 10, 2026 - **Apply:** https://www.linuxrecruit.co.uk/job/backend-engineer-ai-native- ## About the Role * 3+ years of backend engineering experience, ideally with exposure to platform engineering or infrastructure. * Strong system design skills and experience building production grade systems. * Experience working with distributed systems, PostgreSQL, queueing systems and large scale batch processing. * An understanding of performance optimisation, benchmarking and scaling systems under demand. * Exposure to LLM infrastructure or AI native applications. * The ability to take ownership of problems across APIs, infrastructure and data flows. * A pragmatic engineering mindset, with the confidence to make decisions and challenge existing approaches. You don't need experience with every technology in their stack. They're far more interested in strong engineering fundamentals, problem-solving ability and people who can quickly learn new technologies. ## Description * Building scalable infrastructure: Designing and developing backend systems capable of supporting enterprise scale workloads. * Enabling engineering teams: Creating shared abstractions, internal tooling and infrastructure that allow product engineers to build and ship faster. * Solving complex AI challenges: Working with high volume LLM workloads, token throughput, real time processing and external provider reliability. * Engineering for scale: Developing resilient distributed systems, optimising databases and managing large scale processing. * Owning technical decisions: Taking responsibility for architecture, performance, observability, authentication and job orchestration. * Driving engineering standards: Helping shape best practices, improve developer experience and build reliable systems from the outset. Is this you? They're interested in engineers who enjoy solving difficult problems, take ownership of their work and thrive in fast moving environments., The engineering team works with a modern technology stack designed to support rapid development without compromising scalability or reliability. * Backend: Kotlin, supported by the wider Java ecosystem. * Frontend: React, Vite and TanStack. * Infrastructure and orchestration: Temporal. * LLM routing: Portkey. * AI infrastructure: A specialised LLM harness designed to balance agent autonomy with enterprise grade governance, control and reliability. Why Join? This is an opportunity to join a well funded AI company at a genuinely exciting stage of growth. With $60M in Series A funding, established enterprise customers and significant technical challenges ahead, you'll be joining a business with the ambition and resources to make a lasting impact. You'll work alongside highly capable engineers in a collaborative, low ego environment where ownership is encouraged, decisions are made quickly and your contributions directly influence the direction of the platform. Interested? If you're a backend engineer who wants to work at the forefront of AI, solve complex infrastructure challenges and help build technology that could fundamentally change how global enterprises operate, this is an opportunity worth exploring.