岗位概况
Cohere 智能体基础设施团队高级 / 资深员工级工程师：建设下一代智能体 AI 基础设施，覆盖安全代码执行、智能体状态管理、模型路由、身份认证与长运行工作流的资源管理。 要求生产级 ML 基础设施经验与分布式系统功底。 远程友好，地点列多伦多、加拿大、美国，年薪 24 万–36 万美元。
工作职责
- 建设智能体生成代码的安全执行环境
- 建设智能体的身份、认证与信任边界
- 建设跨模型类型与环境的模型路由与编排
- 建设智能体工作流的限流、配额与资源管理
- 建设智能体的状态管理、内存与文件系统抽象
- 把新兴 ML 研究想法转化为生产级基础设施
- 建设执行、存储与状态管理的核心平台能力
- 原型评估新技术，并参与决策哪些应进入生产
- 与研究团队合作，按未来智能体系统的需求塑造基础设施
任职要求
- 有生产级 ML 基础设施经验，系统基础扎实
- 有智能体系统、多智能体工作流或智能体开发框架的实操经验
- 熟悉跨模型类型与环境的模型路由与 LLM 供应商框架
- 有可扩展、容错分布式系统与 Kubernetes 经验
- 有快速原型并做出良好生产化决策的记录
申请条件与限制
- 远程友好，地点列多伦多、加拿大、美国；也可选择多伦多、伦敦、纽约、旧金山、蒙特利尔、巴黎、柏林、首尔办公室
- 雇佣类型为全职，年薪 24 万–36 万美元
加分项
- 有跨本地、私有云与公有云环境经验
- 熟悉存储系统、嵌入式数据库或文件系统抽象
- 有代码执行沙箱经验，例如 gVisor、Firecracker、Kata 或 WASM 运行时
- 对新兴 ML 基础设施、边缘推理或浏览器原生模型有兴趣
- 有 LLM 或智能体基础设施开源贡献
- 有身份、工作负载认证或基于能力的系统安全经验
薪酬与福利
- 年薪 24 万–36 万美元
- 每周 75 美元或英镑午餐津贴，完整医保牙科与心理健康预算
- RRSP、401K、养老金匹配，最长 6 个月 100% 育儿假补足
- 年度 enrichment 福利与教育学习津贴，6 周带薪假
- 远程员工到其他办公室差旅预算与年度团建，500 美元家庭办公津贴
岗位重点解读
- 岗位核心是“智能体的平台层”：执行、状态、路由、身份、资源五大件，缺一环智能体都跑不稳
- 双重要求：系统深度与 ML 直觉缺一不可，既要懂分布式权衡，也要理解新兴智能体能力如何塑造平台设计
- 工作位置在研究与生产之间：把研究想法变成可靠的基础设施，而不是只做论文复现或只做运维
申请准备建议（编辑解读）
- 准备生产级 ML 基础设施案例，重点讲分布式权衡与容错设计
- 准备智能体系统实操案例：状态管理、模型路由或执行沙箱任一方向讲深
- 确认地点与远程安排：地点列多伦多、加拿大、美国，需问清远程协作方式
- 问清薪资区间定位：24 万–36 万美元跨度较大，需结合级别确认
国际远程岗位，招聘地区：Toronto; Canada; United States。 请核对原招聘中的居住地、工作许可、时区、语言与出差要求；远程岗位不等于全球可申请。 以下保留招聘来源英文原文。
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, 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, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.
#J-18808-Ljbffr
