The opportunity
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.
What you'll do
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.
What they're looking for
- Help decide when a workflow needs a more constrained product experience, a: better model interface, a stronger eval, or a deeper modelling investment.
- 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.
