About The Position

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.

Requirements

  • 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.

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 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

  • 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.
  • A daily lunch program, plenty of snacks, and regular community and social events (for those in the office).
  • A co-working benefit so you can work alongside others in your city (for those not near an office).
  • $500 home office stipend to set up your workspace properly.
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