Infrastructure Engineer (AI)

Location: London, United Kingdom; on-site

Company

hirify.global is a well-funded, fast-growing frontier AI lab developing recursively self-improving AI to discover new scientific knowledge.

What you will do

• Run and evolve GPU clusters, including scheduling, utilization, debugging, and performance optimization.
• Scale the Kubernetes, Linux, networking, containers, and cloud infrastructure stack end to end.
• Establish operational excellence through incident response, postmortems, and healthy on-call practices.
• Build agent-driven automation for cluster lifecycle management, provisioning, and remediation.
• Partner directly with the research team to optimize the platform used for AI inference and training.

Requirements

• Experience operating infrastructure at scale, preferably for large language model workloads.
• Deep knowledge of Kubernetes internals, cluster provisioning, and orchestration systems.
• Practical expertise across Kubernetes, Linux, networking, containers, and cloud environments.
• Strong systems thinking with a focus on reliability, performance, and operational clarity.
• AI-focused mindset and interest in building agent-centered infrastructure.

Nice to have

• Cloud and cluster networking expertise, including VPC, BGP, CNI, eBPF, or service mesh.
• Experience with GPUs and CUDA.
• Infrastructure-as-code and workflow orchestration experience, such as Terraform.
• Experience leading multi-quarter infrastructure initiatives end to end.

Culture & Benefits

• Work in person every day at a high-intensity London headquarters.
• Shape the core technical foundation of a frontier AI lab from the beginning.
• Solve technically difficult infrastructure problems focused on accelerating AI research.
• Join a small, high-trust team with limited bureaucracy and a technical culture.
• Collaborate with experts in foundation model training, AI for science, and organizational design.