25 Oct
|
PromptCube
|
Toronto
25 Oct
PromptCube
Toronto
Role overview
Cohere builds agentic AI infrastructure for enterprises, and this role develops the platform enabling secure code execution, model routing, and resource management for autonomous AI agents at scale. The position requires North American work authorization and focuses on distributed systems, ML infrastructure, and developer experience. Cohere encourages applicants who do not match every criterion to apply.
Responsibilities
- Build secure execution environments for agent-generated code
- Design identity and authentication systems for AI agents
- Develop model routing and orchestration across different model types and environments
- Implement rate limiting, quotas, and resource management for agent workflows
- Create state management, memory, and filesystem abstractions for agents
- Prototype and evaluate new technologies for production infrastructure
- Partner with research teams to shape infrastructure based on future agent system needs
Qualifications
- 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
- Proven track record of moving quickly on prototypes and making good decisions about productionization
Application conditions
- Valid work authorization required for listed locations (Toronto, Canada; United States)
- Hybrid attendance may be required at Cohere offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin, or Seoul
- Occasional travel may be required for annual company offsite and office visits
- Remote eligibility is not worldwide; must comply with regional residency and authorization requirements
Preferred qualifications
- 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
Compensation and perks
- $240K - $360K USD per year salary
- Weekly lunch stipend of $75/£75 or equivalent in local currency
- Full health and dental advantages with separate budget for mental health
- RRSP matching, 401K, Pension Scheme
- 100% Parental Leave top-up for up to 6 months for either parent
- Annual enrichment advantages including Arts & culture, fitness/wellness, quality time, and workspace improvement credit
- Education & learning stipend for conferences, courses, and coaching
- 6 weeks of paid vacation (30 working days)
- Budget for traveling to other offices if remote, plus annual company offsite
- $500 home office stipend to set up workspace properly
What this role focuses on
- Build and maintain the distributed infrastructure platform that enables autonomous AI agents at scale, including secure code execution environments, identity and authentication systems, model routing and orchestration, and resource management for long-running agent workflows. Work at the intersection of ML systems, distributed infrastructure, and developer experience to turn research prototypes into production-ready infrastructure.
Employer-published remote role. Listed location(s): Toronto; Canada; United States. Remote does not imply worldwide eligibility. Check the original listing for residency, work authorization, time zone, language and travel requirements.
Who are we?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, B
📌 Staff/Senior Staff Software Engineer, Agent Infrastructure (Toronto)
🏢 PromptCube
📍 Toronto