As a Founding Engineer, you will architect a high-performance gateway for large language models. You’ll build scalable infrastructure that handles massive traffic volumes, optimizing for reliability and speed. Working directly with the founders, you’ll define the technical roadmap and shape the core product that powers next-generation AI applications globally.
Founding Engineer at well-funded AI infrastructure startup
Are you ready to build the backbone of the AI-first world? We’re looking for a Founding Engineer to join an elite team in London building high-scale infrastructure for large language models. Backed by top-tier VCs, this role offers significant equity and the chance to own the architecture of a platform handling massive traffic. If you have 5+ years of experience in high-performance backend systems and want to shape the future of AI connectivity, this is your opportunity to lead technical direction at a seed-stage company.
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
Confidential company
Role overview
About the company
Well-funded AI infrastructure startup
What you will do
- Design and implement high-performance backend services using compiled languages to manage real-time traffic and data flows.
- Collaborate with founders to architect scalable microservices on Kubernetes, ensuring robustness, observability, and security across the platform.
- Own end-to-end development of new features, from initial routing logic to infrastructure deployment and production monitoring.
Who this is a fit for
- Has 5+ years of experience building backend systems in a compiled language like Go, Rust, C++, or Java.
- Demonstrates deep expertise in concurrency, distributed caches, and database optimization for low-latency, high-throughput production environments.
- Thrives in a fast-paced startup environment, balancing pragmatism with technical excellence to ship high-quality products rapidly.
Why this role is remarkable
- Join as one of the first five employees and directly influence the company’s technical direction and cultural foundation.
- Build the core infrastructure layer for the AI era, solving complex distributed systems problems at a massive scale.
- Backed by top-tier venture capital firms with significant equity upside and the opportunity to work in person in London.
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