Forward Deployed Engineer, Agentic Platform

About the role

This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients' engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.

Responsibilities

• Translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies
• Design, build, and deliver LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance
• Work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources
• Own 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
• 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

Requirements

• Hands-on experience building and deploying production-grade software in Python
• You write 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
• Deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks
• Proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency
• Experienced working directly with customers and can lead 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
• Thrives in fast-paced and ambiguous environments and can 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

Skills

• Python programming skills
• Experience with large language models (LLMs)
• Experience with vector databases
• Experience with orchestration frameworks
• Ability to build robust evaluation frameworks
• Experience working directly with enterprise stakeholders
• Experience owning the full scope of a use case end-to-end
• Experience in fast-paced and ambiguous environments

Benefits

• 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