Staff/Senior Staff Software Engineer, Agent Infrastructure
Cohere
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 codeIdentity, authentication, and trust boundaries for agentsModel routing and orchestration across different model types and environmentsRate limiting, quotas, and resource management for agent workflowsState management, memory, and filesystem abstractions for agentsIN THIS ROLE YOU WILL:
Turn emerging ML research ideas into production-ready infrastructureBuild core platform capabilities for execution, storage, and state managementPrototype and evaluate new technologies, then help decide what should move into productionPartner with research teams to shape infrastructure based on what future agent systems will needYOU MAY BE A GOOD FIT IF YOU HAVE:
Experience building production ML infrastructure with strong systems fundamentalsHands‑on work with agentic systems, multi‑agent workflows, or agent development frameworksFamiliarity with model routing and LLM provider frameworks across different model types and environmentsExperience with scalable, fault‑tolerant distributed systems and KubernetesA track record of moving quickly on prototypes and making good decisions about productionizationBONUS
Experience across on‑prem, private cloud, and public cloud environmentsFamiliarity with storage systems, embedded databases, or filesystem abstractionsExperience with code execution sandboxes such as gVisor, Firecracker, Kata, or WASM runtimesInterest in emerging ML infrastructure, edge inference, or browser‑native modelsOpen‑source contributions to LLM or agent infrastructure projectsExperience with identity, workload auth, or capability‑based security systemsFULL‑TIME EMPLOYEES AT COHERE ENJOY THESE PERKS
A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunchFull health and dental benefits, including a separate budget for mental healthRRSP matching, 401K, Pension Scheme100% Parental Leave top‑up for up to 6 months, for either parentAnnual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching6 weeks of paid vacation (30 working days)Budget for traveling to other offices if you are remote, plus an annual company offsiteHOW 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 soonFor those in the office: a daily lunch program, plenty of snacks, and regular community and social eventsFor those not near an office: a co‑working benefit so you can work alongside others in your cityEveryone receives a $500 home office stipend to set up your workspace properlyWe 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.
#J-18808-Ljbffr
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 codeIdentity, authentication, and trust boundaries for agentsModel routing and orchestration across different model types and environmentsRate limiting, quotas, and resource management for agent workflowsState management, memory, and filesystem abstractions for agentsIN THIS ROLE YOU WILL:
Turn emerging ML research ideas into production-ready infrastructureBuild core platform capabilities for execution, storage, and state managementPrototype and evaluate new technologies, then help decide what should move into productionPartner with research teams to shape infrastructure based on what future agent systems will needYOU MAY BE A GOOD FIT IF YOU HAVE:
Experience building production ML infrastructure with strong systems fundamentalsHands‑on work with agentic systems, multi‑agent workflows, or agent development frameworksFamiliarity with model routing and LLM provider frameworks across different model types and environmentsExperience with scalable, fault‑tolerant distributed systems and KubernetesA track record of moving quickly on prototypes and making good decisions about productionizationBONUS
Experience across on‑prem, private cloud, and public cloud environmentsFamiliarity with storage systems, embedded databases, or filesystem abstractionsExperience with code execution sandboxes such as gVisor, Firecracker, Kata, or WASM runtimesInterest in emerging ML infrastructure, edge inference, or browser‑native modelsOpen‑source contributions to LLM or agent infrastructure projectsExperience with identity, workload auth, or capability‑based security systemsFULL‑TIME EMPLOYEES AT COHERE ENJOY THESE PERKS
A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunchFull health and dental benefits, including a separate budget for mental healthRRSP matching, 401K, Pension Scheme100% Parental Leave top‑up for up to 6 months, for either parentAnnual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching6 weeks of paid vacation (30 working days)Budget for traveling to other offices if you are remote, plus an annual company offsiteHOW 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 soonFor those in the office: a daily lunch program, plenty of snacks, and regular community and social eventsFor those not near an office: a co‑working benefit so you can work alongside others in your cityEveryone receives a $500 home office stipend to set up your workspace properlyWe 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.
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Vacancy posted 6 hours ago
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