Forward Deployed Engineer, Agentic Platform

Stack

Responsibilities

• ▹Work with enterprise customers to translate ambiguous, high-value 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
• ▹Build and ship features for North, the AI workspace platform, across the full product lifecycle
• ▹Own scoping and shaping of use cases end-to-end, flexing into any technical area the problem demands, including frontend
• ▹Contribute to shared frameworks and patterns for consistent, high-quality delivery
• ▹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: clean, testable, observable, scalable code
• ▹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
• ▹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 business needs into concrete technical specs
• ▹Experience owning the full scope of a use case end-to-end
• ▹Thrive in fast-paced, ambiguous environments with shifting priorities

Nice to have

• ▹Experience setting architectural standards for AI and agentic systems across distributed teams
• ▹Experience flexing into unfamiliar technical areas, such as frontend
• ▹Exposure to regulated or sensitive industries (finance, healthcare, telecoms)
• ▹Experience with enterprise security, compliance or auditability requirements for AI systems

Soft skills

What we offer

• ▹Weekly lunch stipend of $75/£75 or local equivalent
• ▹Full health and dental benefits with a separate mental health budget
• ▹RRSP matching, 401K, pension scheme
• ▹100% parental leave top-up for up to 6 months
• ▹Annual enrichment benefits: arts and culture, fitness and wellness, quality time, workspace improvement credit
• ▹Education and learning stipend for conferences, courses and coaching
• ▹6 weeks (30 working days) of paid vacation
• ▹Travel budget to other offices and an annual company offsite
• ▹Co-working benefit for those not near an office
• ▹$500 home office stipend

About the company

Cohere is a security-first enterprise AI company building foundation models and end-to-end products for real-world business problems. It is co-headquartered in Toronto and San Francisco, with offices in London, New York City, Montreal, Seoul, Germany and Paris.