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
Work closely with our enterprise customers to translate high-value, ambiguous: business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies
Lead the design, build, and delivery of LLM-powered agents that reason, plan,: and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance
Build and ship features for North, our AI workspace platform, working across: the full product lifecycle from conceptualization through production
Take ownership of scoping and shaping use cases end-to-end, flexing into: whatever technical area the problem demands (including frontend) to drive the most effective solution
Contribute to shared frameworks and patterns that enable consistent,: high-quality delivery across customers and teams
Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization
What they're looking for
- Travel up to 20–40% to work on-site with customers and partners
- You have hands-on experience building and deploying production-grade software: in Python; you write clean, testable, observable, scalable code
- You've built and deployed highly performant RAG and agentic applications,: including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute
- You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks
