Join the Sakana AI RSI Lab to discover new laws of machine intelligence and build systems for high-dimensional search pipelines.
About this role
Sakana AI turns its AI research into products used by real users and enterprise customers, including Sakana Chat, Marlin, Fugu and Namazu. This Infrastructure and Platform Reliability Engineer joins the product team to keep those products fast, dependable and cost-efficient as they scale.
The engineer owns reliability and SLA management across the products and the production inference infrastructure for the LLM products, improving reliability, latency, throughput, GPU utilisation and cost. They operate LLM serving systems with safe deployment and rollback, build monitoring, alerting, incident response and postmortem practices (including on-call rotation), turn enterprise security and availability needs into infrastructure design, and support capacity planning and cost management.
Applicants need experience designing and running production infrastructure on AWS or GCP, running containerised services, APIs or inference workloads, infrastructure as code, monitoring and incident response, and LLM serving frameworks such as vLLM, TensorRT-LLM or SGLang, plus English good enough to drive technical projects. Kubernetes, Terraform and GPU-cluster experience are preferred. Conversational Japanese is expected.
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