Forward Deployed Engineer, Agentic Platform

Responsibilities

• Translate ambiguous enterprise 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.
• Build and ship features for North across the full product lifecycle, from conceptualization through production.
• Own use cases end to end, adapting to the technical area required, including frontend development.
• 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.
• Work directly with enterprise customers and partners; travel up to 20–40% for on-site engagements.

Requirements

• Hands-on experience building and deploying production-grade software in Python.
• Experience writing clean, testable, observable, and scalable code.
• Experience building and deploying performant retrieval-augmented generation (RAG) and agentic applications.
• Experience developing agents that plan and execute multi-step tasks using patterns such as ReAct or Plan-and-Execute.
• Strong familiarity with the LLM stack, including frontier models, vector databases, and orchestration frameworks.
• Experience building robust evaluation frameworks to measure agent accuracy, safety, and latency.
• Experience working directly with customers and leading technical discussions with enterprise stakeholders.
• Ability to translate ambiguous business needs into concrete technical specifications.
• Experience owning the full scope of a use case end to end.
• Ability to execute effectively in fast-paced, ambiguous environments with shifting priorities.

Nice-to-haves

• Experience setting architectural standards for AI and agentic systems across distributed teams.
• Ability to work in unfamiliar technical areas, such as frontend development, when needed.
• Exposure to regulated or sensitive industries, including finance, healthcare, or telecommunications.
• Experience with enterprise security, compliance, or auditability requirements for AI systems.

Compensation and Benefits

• Weekly lunch stipend of $75/£75 or equivalent in local currency.
• Full health and dental benefits, including a separate mental health budget.
• RRSP matching, 401(k), or pension scheme, depending on location.
• Up to six months of 100% parental leave top-up for either parent.
• Annual enrichment benefits for arts and culture, fitness and wellness, quality time, and workspace improvements.
• Education and learning stipend for conferences, courses, and coaching.
• Six weeks of paid vacation (30 working days).
• Budget for travel to other offices for remote employees and an annual company offsite.
• Coworking benefit for employees not near an office.
• $500 home office stipend.