Senior Software Engineer, Agent Infrastructure
About The Role
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. 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.
What You’ll Work On
- 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
In This Role You Will 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
You May Be a Good Fit If You Have
- 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
Bonus 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
How And Where We Work
- Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.