Applied Artificial Intelligence Engineer (Agents & Automations)

• North is Cohere’s cutting-edge AI workspace platform, designed to revolutionize the way 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
• Some of our most important work is making the agents and AI-powered experiences inside North genuinely useful in the workflows customers rely on every day
• These systems become valuable when users can build with them, steer them, inspect their work, recover from errors, and trust them to complete messy tasks inside real enterprise environments
• This role is about making those AI experiences reliable, useful, and production-ready
• You’ll work with product engineering, modelling and design to turn model capability into reliable, user-facing systems: agent builders, eval frameworks, proactive intelligence, and new interfaces for collaborating with AI
• Sometimes that means shipping a new product surface, sometimes a better eval or feedback loop, sometimes prompt and context experiments, and sometimes redesigning the workflow so the model is being asked to do the right thing
• 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 modelling
• Work closely with modelling, 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 modelling 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

Benefits

• Six weeks’ paid vacation
• Equity / stock options
• RRSP, 401(k), and Pension Scheme contributions
• Coverage for 100% of your insurance premiums across health, dental, vision, and travel
• Additional coverage for accessing mental health providers/services
• Six months of fully paid parental leave, including adoption and surrogacy
• Financial support for egg freezing and IVF in Canada and the UK
• A monthly fitness and wellness allowance
• Globally dispersed company that supports a remote work culture
• A $2,000 annual education benefit for professional development
• A weekly stipend for meals when working remotely and catered lunch when working from one of our global offices
• A monthly arts and culture allowance
• A monthly quality time allowance- 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 what you learn 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
• If any of the above doesn’t line up exactly with your experience, we still encourage you to apply