Forward Deployed Engineer, Agentic Platform (West Coast)

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 full scope of a use case end-to-end, flexing into whatever technical area the problem demands (including frontend)
• 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
• Experience writing clean, testable, observable, scalable code
• Experience building and deploying 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, moving well beyond trial and error, to measure agent accuracy, safety, and latency
• Experience working directly with customers and leading 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
• Ability to thrive in fast-paced and ambiguous environments and 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
• Experience in 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
• Experience with RAG and agentic applications
• Experience with enterprise-level reliability and performance
• Experience with customer-facing technical discussions
• Experience with ambiguity and fast-paced 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

Pay

Competitive salary and equity package

Schedule

Full-time, remote-friendly position