The AI industry has a dirty secret.

Behind every intelligent application is a mountain of manual effort. Today, many engineering teams are buried in tickets, managing Kubernetes clusters, and constantly tuning inference just to control costs. It’s slow, expensive, and increasingly unsustainable.

This company is building a different approach...

They’re a fast-growing AI infrastructure business, backed at scale, focused on making cloud native AI systems far more autonomous and efficient. Their platform goes beyond monitoring, it actively optimises and adapts infrastructure in real time, helping large organisations run complex ML workloads without constant human intervention.

This isn’t a maintenance role, it’s deeply R&D focused. You’ll take ownership of greenfield problems around scaling modern AI systems, from improving inference efficiency to designing smarter ways of routing and executing workloads across distributed environments. The work touches ev...