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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Infrastructure Engineer, Serving Platform - **Company:** Scale AI - **Location:** London, UK - **Experience:** Experienced - **Salary:** £52,544.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, C++ (Programming Language), Cloud Computing, Computer Programming, Fault Tolerance, Python (Programming Language), Data Streaming, Workflow Management Systems, AI Infrastructure, Load Balancing, Large Language Models, Backend, Rate Limiting, Build Management, Kubernetes, Machine Learning Operations, TensorRT, Terraform, Docker - **Published:** July 26, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5815357421 ## About the Role * 4+ years of experience building large-scale, high-performance backend systems. * Strong programming skills in one or more languages (e.g., Python, Go, Rust, C++). * Experience with LLM serving and routing fundamentals (e.g. rate limiting, token streaming, load balancing, budgets, etc.) * Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates, etc. * Experience with containers and orchestration tools (e.g., Docker, Kubernetes). * Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform). * Proven ability to solve complex problems and work independently in fast-moving environments. * Experience with modern LLM serving frameworks such as vLLM, SGLang, TensorRT-LLM, or text-generation-inference. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. ## Description As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various environments. The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You'll work in a highly collaborative environment, bridging research and engineering to deliver seamless experiences to our customers and accelerate innovation across the company. * Build and maintain fault-tolerant, high-performance systems for serving LLMs and other models at scale. * Build an internal platform to empower LLM capability discovery. * Collaborate with researchers and engineers to integrate and optimize models for production and research use cases. * Conduct architecture and design reviews to uphold best practices in system design and scalability. * Develop monitoring and observability solutions to ensure system health and performance. * Lead projects end-to-end, from requirements gathering to implementation, in a cross-functional environment. ## Related Videos - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Efficient deployment and inference of GPU-accelerated LLMs​](https://www.wearedevelopers.com/videos/929-efficient-deployment-and-inference-of-gpu-accelerated-llms) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)