About the Role
- Cohere is a leading security-first enterprise AI company that builds cutting-edge foundation AI models and end-to-end products to solve real-world business problems. We are training and deploying frontier models for enterprises building AI systems, believing our work is instrumental to the widespread adoption of AI. We obsess over what we build, with each team member responsible for increasing model capabilities and customer value. Cohere is a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany, and Paris.
- North is Cohere's cutting-edge AI workspace platform, designed to revolutionize how enterprises utilize AI. It offers a secure and customizable environment for deploying AI while maintaining control over sensitive data, integrating seamlessly with existing workflows, and connecting AI agents with workplace tools and applications.
- This role offers a unique opportunity to shape how enterprises harness AI in real-world applications, acting as a bridge between Cohere's core North product and client engineering teams. The Forward Deployed Engineer will be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. This role requires building and deploying production-grade agentic workflows powered by Large Language Models (LLMs), from early prototypes to reliable, observable, safe, and auditable AI agents that deliver concrete business value. Anticipated travel is between 20-40%.
Responsibilities
- 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 conceptualisation 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.
- Travel up to 20–40% to work on-site with customers and partners.
Requirements
- Hands-on experience building and deploying production-grade software in Python; ability to write clean, testable, observable, scalable code.
- Experience building and deploying highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute.
- Deep familiarity with the LLM stack: frontier models, vector databases, and orchestration frameworks.
- Proven ability to build robust evaluation frameworks to measure agent accuracy, safety, and latency.
- Experience working directly with customers and leading technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs.
- Experience owning the full scope of a use case end-to-end.
- Ability to thrive in fast-paced and ambiguous environments and execute well even when priorities are shifting.
Qualifications
- Experience setting architectural standards for AI and agentic systems across distributed teams.
- Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it.
- Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms).
- Experience with enterprise security, compliance, or auditability requirements for AI systems.
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.
- Everyone receives a $500 home office stipend to set up your workspace properly.