Staff AI Engineer

Role overview Provide hands-on technical leadership for production AI systems, from architecture and prototyping through deployment, monitoring, and ongoing improvement. The role also shapes how engineering teams use AI in software development, setting shared practices that connect technical decisions to product outcomes, reliability, security, and cost. The position is remote within the Americas, with occasional travel.

Responsibilities - Shape the AI roadmap with product and engineering leaders, make architectural decisions, and coordinate work across teams. - Build agents, tool integrations, retrieval systems, and AI workflows connected to enterprise APIs and data. - Create evaluation datasets and controlled experiments to assess quality, reliability, latency, cost, and user outcomes. - Establish shared development and deployment practices for evaluation, versioning, observability, staged releases, rollback, security, and incident response. - Mentor engineers through design and code reviews, documentation, and training on AI-assisted development and generated-code validation. - Work with security, legal, and compliance partners to apply responsible AI controls and maintain audit evidence.

Requirements - Significant experience delivering production software and leading complex technical initiatives from architecture through operation. - Hands-on experience building and operating LLM-based and agentic systems, including orchestration, tool use, retrieval, and evaluation. - Strong software engineering skills in system and API design, data modeling, testing, CI/CD, observability, and secure development. - Production proficiency in Python or C#, plus experience deploying cloud services and integrating enterprise APIs and data. - A relevant bachelor’s degree or equivalent practical experience, and availability for occasional work-related travel.

Nice to have - Experience with enterprise SaaS AI products, Microsoft Azure, shared AI platforms, or evaluation and developer tooling. - Familiarity with enterprise data governance and compliance; experience in food, beverage, or supplements is useful.

Benefits and work setup - Fully remote work, flexible paid time off, health benefits, paid parental leave, retirement plan with company match, and paid volunteer days. - The listed compensation range is CAD $190,000–$220,000 per year, with eligibility for bonus pay.