В Cohere чётко очерчена роль на стыке агентного ИИ и промышленной инфраструктуры, с сильным пакетом льгот и возможностью влиять на развитие новых систем.
Актуальные технологии
Перспективная сфера
Понятные задачи
Сильный пакет льгот
Связь с исследованиями
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Agentic AI Infrastructure Engineer (ML systems/distributed infrastructure): Building the infrastructure platform that powers autonomous AI agents at scale with an accent on secure code execution, agent state management, model routing, identity, authentication, and resource management. Focus on turning emerging ML research into reliable production systems, evaluating new technologies, and designing scalable infrastructure for long-running agent workflows.
Location: Remote in Canada or the United States; offices are available in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin, and Seoul.
Compensation: USA California, New York, and Washington: $180K–$260K plus equity; other US states: $160K–$235K plus equity; Canada: CA$230K–CA$330K plus equity.
Company
Cohere is a security-first enterprise AI company building foundation models and end-to-end products for business applications.
What you will do
Build secure execution environments for agent-generated code, along with core platform capabilities for execution, storage, and state management.
Design identity, authentication, trust boundaries, model routing, orchestration, rate limiting, quotas, and resource management for agent workflows.
Develop state management, memory, and filesystem abstractions for autonomous AI agents.
Turn emerging ML research ideas into production-ready infrastructure.
Prototype and evaluate technologies, deciding which capabilities should move into production.
Partner with research teams to shape infrastructure for future agent systems.
Requirements
Experience building production ML infrastructure with strong systems fundamentals.
Hands-on experience 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 sound productionization decisions.
Nice to have
Experience across on-premises, 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 authentication, or capability-based security systems.
Culture & Benefits
Remote-friendly work with coworking support for people away from an office, a $500 home office stipend, and travel budgets for other offices.
Six weeks of paid vacation, parental leave top-up for up to six months, and health and dental benefits with a separate mental health budget.
Lunch stipend of $75/£75 or local-currency equivalent, plus annual enrichment benefits for arts and culture, fitness and wellness, quality time, and workspace improvements.
Education and learning stipend for conferences, courses, and coaching.
RRSP matching, 401(k), and pension scheme benefits where applicable.
Annual company offsite and regular community and social events for office-based employees.
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