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Member of Technical Staff: AI Systems Engineer at well-funded AI infrastructure startup

Are you passionate about the low-level mechanics that power the world's most advanced AI? This well-funded London startup is looking for an AI Systems Engineer to join their core technical staff. You'll build high-throughput inference engines and solve complex distributed systems challenges at the very edge of what's possible with generative models. If you thrive on GPU optimization and high-performance engineering, this is your chance to shape the future of AI infrastructure from the ground up.

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Location

London, United Kingdom

Compensation

Not Disclosed

Company

Confidential company

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Role overview

As a core member of the technical staff, you will architect and optimize high-throughput inference systems for large-scale generative models. You will tackle deep technical challenges in distributed systems and hardware-software co-design, directly impacting the latency and scalability of production-grade AI services for a global developer ecosystem.

About the company

Well-funded AI infrastructure startup

What you will do

  • Design and implement low-level optimizations for model inference to maximize GPU utilization and minimize token latency.
  • Build robust, distributed systems capable of serving frontier models with high reliability and cost-efficiency.
  • Collaborate with research teams to integrate novel architectures into production-ready inference engines and serving stacks.

Who this is a fit for

  • Demonstrates deep expertise in systems programming and optimizing performance-critical software in C++ or Rust.
  • Has a proven track record of working with deep learning frameworks and low-level GPU acceleration libraries.
  • Possesses a strong understanding of distributed systems and the mechanics of modern large language model architectures.

Why this role is remarkable

  • Work at the intersection of systems engineering and cutting-edge machine learning research to define the future of model deployment.
  • Join an elite technical team backed by top-tier venture capital firms during a period of rapid infrastructure scaling.
  • Influence the foundational layer of AI applications by building systems that make massive models commercially viable and performant.

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