Наши требования
Experience building production ML infrastructure with strong systems fundamentals
Hands-on work with agentic systems, multi-agent workflows, or agent development frameworks
Familiarity with model routing and LLM provider frameworks across different model types and environments
Experience with scalable, fault-tolerant distributed systems and Kubernetes
A track record of moving quickly on prototypes and making good decisions about productionization
Experience across on-prem, private cloud, and public cloud environments
Familiarity with storage systems, embedded databases, or filesystem abstractions
Experience with code execution sandboxes such as gVisor, Firecracker, Kata, or WASM runtimes
Interest in emerging ML infrastructure, edge inference, or browser-native models
Open-source contributions to LLM or agent infrastructure projects
Experience with identity, workload auth, or capability-based security systems