Cohere is a company dedicated to scaling intelligence to serve humanity through AI systems. The Senior Software Engineer, Agent Infrastructure role focuses on building the next generation of agentic AI infrastructure, including secure execution environments and resource management for agent workflows.
Responsibilities:
- Secure execution environments for agent-generated code
- Identity, authentication, and trust boundaries for agents
- Model routing and orchestration across different model types and environments
- Rate limiting, quotas, and resource management for agent workflows
- State management, memory, and filesystem abstractions for agents
- Turn emerging ML research ideas into production-ready infrastructure
- Build core platform capabilities for execution, storage, and state management
- Prototype and evaluate new technologies, then help decide what should move into production
- Partner with research teams to shape infrastructure based on what future agent systems will need
Requirements:
- 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