Staff/Senior Staff Software Engineer, Cohere

• This role is a strong fit for someone who combines systems depth with ML intuition. You should be comfortable building reliable infrastructure, thinking through distributed systems tradeoffs, and understanding how emerging agentic capabilities shape platform design
• 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
• If any of the above doesn’t line up exactly with your experience, we still encourage you to apply

Desirable

• We’re building the next generation of agentic AI infrastructure at Cohere. This team sits at the intersection of ML systems, distributed infrastructure, and developer experience, creating the platform that powers autonomous AI agents at scale
• You’ll work on hard, forward-looking problems with few established patterns, including secure code execution, agent state management, model routing, identity and authentication, and resource management for long-running agent workflows
• 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