Applied AI Engineer, Agents & Automations

About Us

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products designed to solve real-world business problems. We train and deploy frontier models for enterprises building AI systems. Our work is instrumental to the widespread adoption of AI, and we are looking for individuals who want to be part of that mission.

We obsess over what we build. Each team member contributes to increasing the capabilities of our models and the value they drive for our customers. Cohere is a global team of researchers, engineers, designers, and more, passionate about their craft. Headquartered in Toronto, we have key offices in London, New York City, San Francisco, Montreal, Paris, Berlin, and Seoul.

About the Role

North is Cohere's cutting-edge AI workspace platform, designed to revolutionize how enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.

This role focuses on making AI-powered experiences inside North genuinely useful in the workflows customers rely on daily. You’ll work with product engineering, modeling, and design teams to turn model capabilities into reliable, user-facing systems: agent builders, eval frameworks, proactive intelligence, and new interfaces for collaborating with AI. Your work will ensure these systems are valuable, steerable, inspectable, and trustworthy in real enterprise environments.

Responsibilities

• Build AI-powered product experiences that help users create, configure, evaluate, and improve workflows across North.
• Design and ship new interfaces for interacting with models, including workflow builders, proactive assistants, review flows, and other human-AI collaboration patterns.
• Build eval, observability, and feedback systems that measure whether AI experiences succeed in real enterprise workflows.
• Improve AI reliability through product design, prompting, context construction, tool-use strategies, instrumentation, and feedback loops.
• Turn production failures, user feedback, and real-task data into better product behavior, stronger eval suites, regression tests, and signals for modeling.
• Work closely with modeling, product, design, customer teams, and domain experts to define what “good” means for specific workflows and ship measurable improvements.
• Help decide when a workflow needs a more constrained product experience, a better model interface, a stronger eval, or a deeper modeling investment.

Example problems you might work on include helping users build AI automations from natural language, creating evals for multi-step agent workflows, adding proactive intelligence inside the product, or creating interfaces that make agent behavior easier to inspect, steer, and trust.

Qualifications

• You have shipped LLM-powered, agent-powered, or AI-assisted product experiences into production and improved them based on real-world feedback.
• You are a strong software engineer who enjoys working across backend systems, user-facing product, data, evals, and model behavior.
• You think in terms of user outcomes and system behavior, not just model metrics.
• You have strong product taste and care about how the interface, workflow, and model work together to help users succeed.
• You enjoy debugging messy real-world failures and turning insights from production, user testing, and evals into durable improvements.
• You enjoy owning ambiguous problems end-to-end and working across system boundaries to ship something genuinely useful.

Benefits

• A weekly lunch stipend of $75/£75 or equivalent in your local currency.
• Full health and dental benefits, including a separate budget for mental health.
• RRSP matching, 401K, or Pension Scheme, depending on location.
• 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.
• A $500 home office stipend to set up your workspace properly.
• 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 to work alongside others in your city.

Schedule

This is a full-time position.

Work Arrangements

Cohere is remote-friendly with offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin, and Seoul. More offices are opening soon.