Senior Software Engineer, Agent Infrastructure
About The Position
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.
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.
Nice To Haves
- 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.
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
Benefits
- An open and inclusive culture and work environment
- Work closely with a team on the cutting edge of AI research
- Weekly lunch stipend, in-office lunches & snacks
- Full health and dental benefits, including a separate budget to take care of your mental health
- 100% Parental Leave top-up for up to 6 months
- Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
- Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
- 6 weeks of vacation (30 working days!)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
