Staff Software Engineer (AI)

Location: Toronto, Ontario, Canada

Base salary: CAD 185,000–231,500 per year, with potential equity grants.

Company

Builds a large-scale notification platform focused on delivering personalized, timely, and actionable customer communications.

What you will do

• Define and own the multi-quarter technical strategy for the Notification Hub and Experience domain.
• Architect a personalized notification system that reasons across the full user notification lifecycle.
• Build and scale high-throughput notification infrastructure while balancing relevance, latency, complexity, and long-term reachability costs.
• Integrate AI, machine learning, experimentation, and personalization capabilities into production systems.
• Own reliability, observability, SLA improvements, latency reduction, and the elimination of systemic failure modes.
• Lead cross-functional initiatives with product, design, data science, infrastructure, and marketing teams while mentoring engineers.

Requirements

• 7+ years of backend engineering experience with demonstrated Staff-level impact on large, ambiguous, cross-functional projects.
• Strong proficiency in one or more backend languages, including Go, Java, Python, C++, Kotlin, or a similar language.
• Deep experience designing and scaling distributed systems handling massive event volumes.
• Ability to connect long-term technical strategy with detailed system design and measurable business outcomes.
• Strong written and verbal communication skills, including the ability to align engineering, product, and leadership without formal authority.
• Deep AI fluency and experience applying AI in software development, combined with a product-minded approach.

Nice to have

• Experience building notification, messaging, or communications platforms at scale.
• Experience integrating ML or AI systems in production, including model serving, feature pipelines, real-time inference, or experimentation infrastructure.
• Familiarity with recommendation and personalization systems.
• Experience integrating LLMs into production services.

Culture & Benefits

• Paid time off, paid parental leave, wellness benefits, and paid holidays.
• Medical, dental, and vision benefits for full-time employees.
• Disability and basic life insurance.
• RRSP with employer matching and a mental health program.
• Technical mentorship, cross-functional collaboration, and opportunities to influence the engineering direction of the domain.