Applied AI Engineer, Agents & Automations

Summary

Cohere is the leading security-first enterprise AI company, building cutting-edge foundation AI models and end-to-end products. The Applied AI Engineer, Agents & Automations role focuses on creating reliable and useful AI experiences within the North platform, working collaboratively with product engineering, modeling, and design teams.

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

Skills

• 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

Qualifications

Must Haves

• 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

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.
• For those not near an office: a co-working benefit so you can work alongside others in your city.
• Everyone receives a $500 home office stipend to set up your workspace properly.