Forward Deployed Engineer, Agentic Platform

The role

You will design, build, and deploy agentic workflows powered by Large Language Models for enterprise customers. You will work on the North AI workspace platform to deliver business value through integrated AI agents.

What you will do

• Translate ambiguous business problems into agentic workflows with success criteria and evaluation methodologies
• Lead the design, build, and delivery of LLM-powered agents
• Build and ship features for the North AI workspace platform
• Take ownership of scoping and shaping use cases end-to-end
• Contribute to shared frameworks and patterns
• Drive clarity in ambiguous situations and raise engineering quality
• Travel up to 20–40% to work on-site with customers and partners

Required qualifications

• Hands-on experience building and deploying production-grade software in Python
• Experience building and deploying highly performant RAG and agentic applications
• Familiarity with the LLM stack including frontier models, vector databases, and orchestration frameworks
• 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
• Experience owning the full scope of a use case end-to-end
• Ability to execute in fast-paced and ambiguous environments

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 industry environments (finance, healthcare, telecoms)
• Experience with enterprise security, compliance, or auditability requirements for AI systems

Benefits

• Weekly lunch stipend of $75/£75 or equivalent
• 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
• Annual enrichment benefits for arts, culture, fitness/wellness, quality time, and workspace improvement
• Education and learning stipend for conferences, courses, and coaching
• 6 weeks of paid vacation
• Budget for traveling to other offices if remote
• Annual company offsite
• Daily lunch program, snacks, and social events for office workers
• Co-working benefit for those not near an office
• $500 home office stipend

Before you apply

• Candidates can be currently based in the Middle East or open to travelling or relocating
• May use AI-enabled tools to screen and assess applicants

About the company

Cohere is a security-first enterprise AI company that builds foundation AI models and end-to-end products. It is a global technology company headquartered in Toronto.