# Senior Software Engineer, Agent Infrastructure at Cohere

Cohere is hiring a Senior Software Engineer, Agent Infrastructure for a remote role open to applicants in Canada. It pays $160k-$260k a year and Level rates it Builds AI ●●●●; you can [apply on Cohere](https://jobsbylevel.com/go/a9dfe784-34b7-4fd6-8d82-3582c1782068?utm_medium=ai-agent).

AI Level 4, AI centrality 94 out of 100. Remote (Toronto).

## Details

- Company: [Cohere](https://jobsbylevel.com/companies/cohere)
- AI level: AI Level 4 (score 94 out of 100)
- Location: Remote (Toronto)
- Salary: $160k-$260k
- Posted: October 22, 2026
- Apply: https://jobsbylevel.com/go/a9dfe784-34b7-4fd6-8d82-3582c1782068?utm_medium=ai-agent

## Prepare for this job

The job page lists 3 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/senior-software-engineer-agent-infrastructure-at-cohere-dd38b1

## Description

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, Berlin and Seoul. Join us! 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. Full-Time Employees at Cohere enjoy these Perks: A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a 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 benefits: Arts & culture, fitness/wellness, quality time, and a 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 you are remote, plus an annual company offsite. How and Where We Work: Cohere is remote-friendly, but we also have offices in Toronto,

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/senior-software-engineer-agent-infrastructure-at-cohere-dd38b1

Source: https://jobsbylevel.com/jobs/senior-software-engineer-agent-infrastructure-at-cohere-dd38b1

## Cite this page

Level. https://jobsbylevel.com/jobs/senior-software-engineer-agent-infrastructure-at-cohere-dd38b1.

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