Tali AI is one of the fastest growing startups in Canada with the mission to use AI and make healthcare more accessible. The Staff Engineer will work on high-stakes, ambiguous technical problems, leading projects that are strategically critical and driving them to completion while collaborating with a small and growing team.
Responsibilities:
- You lead through your output, your judgment, and the quality of the standards you set
- You'll work on projects that are strategically critical and don't yet have a clear shape
- You give them shape
- You de-risk them, make the irreversible decisions visible, and drive them to completion
- Our engineering spans: Real-time AI workflows, Reliability engineering, AI infrastructure and platform engineering, GTM engineering, Security, privacy, and compliance
- You operate across whichever of these a given problem touches
- You'll work with a small and growing team that ships daily, reasons clearly, and cares about the clinicians and patients on the other side of every decision
- AI is central to how you work, not as a productivity tool but as a lever for judgment and scope
- You use it to take on problems that would otherwise require a team, and you build the architectural foundations (specs, conventions, standards) that let others on the team do the same
- When you leave a problem, it's in better shape technically and the team is better equipped to handle the next one
- You've shipped complex systems from ambiguous starting points
- You've made high-stakes architectural decisions under uncertainty and can articulate the tradeoffs clearly enough that others learn from them
- You use AI to decompose large problems, maintain coherence across that execution, and apply genuine architectural judgment to what comes out
- You know when the output belongs in the codebase and when it doesn't
- You have strong product instincts and use them
- On problems that need it, you can define scope, make prioritization calls, and connect technical choices to outcomes without waiting for a PM
- You know when "good enough now" beats "perfect later". You also know when it doesn't
- You make people around you better through the quality of your decisions, the visibility of your reasoning, and the standards you set in code review and architecture discussions
- You've taken ownership of a critical project and are driving it to completion with minimal oversight
- Your reasoning on the key decisions is legible to the team
- You're a go-to person for some of our hardest problems
- You've identified and fixed two or three recurring org-wide bottlenecks
- Engineers who've worked with you are making better architectural decisions on their own
- Projects you've led are the reference point for how we execute well
- You're shaping technical strategy and the VP Engineering trusts you to run point on anything