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
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
Benefits
Six weeks’ paid vacation
Equity / stock options
RRSP, 401(k), and Pension Scheme contributions
Coverage for 100% of your insurance premiums across health, dental, vision, and travel
Additional coverage for accessing mental health providers/services
Six months of fully paid parental leave, including adoption and surrogacy
Financial support for egg freezing and IVF in Canada and the UK
A monthly fitness and wellness allowance
Globally dispersed company that supports a remote work culture
A $2,000 annual education benefit for professional development
A weekly stipend for meals when working remotely and catered lunch when working from one of our global offices
A monthly arts and culture allowance
A monthly quality time allowance- Familiarity with model routing and LLM provider frameworks across different model types and environments
Hands-on work with agentic systems, multi-agent workflows, or agent development frameworks
A track record of moving quickly on prototypes and making good decisions about productionization
Experience building production ML infrastructure with strong systems fundamentals
Experience with scalable, fault-tolerant distributed systems and Kubernetes
Interest in emerging ML infrastructure, edge inference, or browser-native models
Familiarity with storage systems, embedded databases, or filesystem abstractions
Experience across on-prem, private cloud, and public cloud environments
Experience with code execution sandboxes such as gVisor, Firecracker, Kata, or WASM runtimes
Experience with identity, workload auth, or capability-based security systems
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
Open-source contributions to LLM or agent infrastructure projects
