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Senior Software Engineer

Cohere11 days ago
Remote
Toronto
Senior Level

Top Benefits

Six weeks paid vacation
Equity / stock options
RRSP, 401(k), pension

About the role

Who you are

  • 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
  • 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
  • If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!

What the job involves

  • 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

About Cohere

Software Development
501-1000

Cohere is the leading data security-focused enterprise AI company. It is a global technology company co-headquartered in Toronto and San Francisco, with key offices in London and New York. The company builds enterprise-grade frontier AI models with industry-leading multilingual capabilities designed to solve real-world business challenges. Cohere’s AI solutions are cloud-agnostic to meet companies wherever their data is stored and offer the highest levels of security, privacy, and customization with on-premises and private cloud deployment options.

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