Note: The job is a remote job and is open to candidates in USA. Cohere is a security-first enterprise AI company building foundation models and end-to-end products for real-world business problems. The Forward Deployed Engineer will design, build, and deploy LLM-powered agentic workflows for enterprise customers, integrate AI with tools, APIs, and sensitive data, and contribute to the North AI workspace platform. The role also involves customer collaboration, technical scoping, evaluation framework development, and travel to customer and partner sites.
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
Skills
- • 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
- • 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.
- A daily lunch program, plenty of snacks, and regular community and social events for those in the office.
- A co-working benefit so you can work alongside others in your city for those not near an office.
- Everyone receives a $500 home office stipend to set up your workspace properly.
Company Overview
Company H1B Sponsorship