Senior Software Engineer, Agent Infrastructure
Core
Building the next generation of agentic AI infrastructure, creating the platform that powers autonomous AI agents at scale.
Role type
Senior Software Engineer, Agent Infrastructure
Builds
Platform for autonomous AI agents, including secure execution environments, identity systems, and model routing.
Domain
Artificial Intelligence / Distributed Systems / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
building production ML infrastructure, systems fundamentals, agentic systems, multi-agent workflows, model routing, LLM provider frameworks, scalable distributed systems, Kubernetes
Preferred skills
on-prem and private cloud environments, storage systems, embedded databases, filesystem abstractions, code execution sandboxes, edge inference, browser-native models, open-source contributions to LLM infrastructure, identity and workload auth systems
Technologies
Kubernetes, gVisor, Firecracker, Kata, WASM runtimes
Responsibilities
Build secure execution environments for agent-generated code; Implement identity, authentication, and trust boundaries for agents; Develop model routing and orchestration across different model types; Manage rate limiting, quotas, and resource management for agent workflows; Create state management, memory, and filesystem abstractions for agents.
Seniority
Senior, hands-on IC
