Platform Engineer (AI)

Location: London, United Kingdom; on-site

Company

hirify.global is developing a self-learning superlearner driven by large-scale reinforcement learning algorithms to discover knowledge and skills without relying on human data.

What you will do

• Design and own the platform infrastructure supporting large-scale reinforcement learning research.
• Manage Kubernetes clusters, containers, and internal tool deployments.
• Build GPU scheduling systems using tools such as KAI Scheduler and Kueue to keep thousands of GPUs productive.
• Improve infrastructure resilience by diagnosing hardware failures and preventing recurring cluster-scale issues.
• Develop observability through log management and monitoring with tools such as Quickwit, Grafana, or Datadog.
• Create fast, reliable developer environments and infrastructure tooling with Tailscale, Workbrew, dev containers, Python, and Rust.

Requirements

• Experience managing Kubernetes and containerized infrastructure.
• Hands-on experience with GPU scheduling at scale, including tools such as KAI Scheduler or Kueue.
• Experience operating resilient large-scale infrastructure and investigating hardware or cluster failures.
• Experience with Google Cloud or other major cloud providers.
• Ability to write clean infrastructure and platform tooling in Python and Rust.

Culture & Benefits

• Work as a foundational platform hire with meaningful influence over architecture and the shape of the role.
• Take ownership of infrastructure that directly supports ambitious AI research.
• Work in a fast-moving environment with trust, autonomy, and responsibility for engineering decisions.
• Collaborate on research infrastructure intended to advance reinforcement learning and artificial intelligence.