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) 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
• 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
• Experience owning the full scope of a use case end-to-end

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 and orchestration frameworks
• Ability to build and evaluate robust AI agents
• Experience working with enterprise customers and stakeholders
• Experience with enterprise security and compliance

Benefits

• Weekly lunch stipend
• Full health and dental benefits
• RRSP matching, 401K, Pension Scheme
• Parental leave top-up
• Annual enrichment benefits
• Education & learning stipend
• 6 weeks of paid vacation
• Home office stipend

Pay

Competitive salary and equity package

Schedule

Full-time, remote-friendly position