Forward Deployed Engineer, Agentic Platform

Remote: yes Posted: 2026-03-04

WHO ARE WE?

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.

We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.

We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!

- 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

You may be a good fit if:

- 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

- You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency

- You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs

- You have experience owning the full scope of a use case end-to-end

- You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting

It's a bonus if you have

- 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