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Added 11 mins ago
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Tali AI

Staff Engineer

Toronto, ON, Canada

Job type: Full-time
Posting language: English
Posted: Sep 3, 2026

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Original job description

Tali AI is one of the fastest growing startups in Canada with the mission to use AI and make healthcare more accessible. We are building the AI platform for clinical workflows: automating data collection, processing, and sharing in healthcare, so clinicians can focus on actual care. Our platform is used by thousands of clinicians in Canada and the US, operating across dozens of specialties and deeply integrated with the fragmented landscape of North American health records systems. The technical north star is an operating system for clinical workflows: a platform that healthcare teams configure to automate their data work.

The hard problems are genuinely hard:

Real-time audio pipelines where latency is felt and accuracy has clinical stakes
Integrations with a fragmented ecosystem of clinical software: health records, billing, scheduling, referral management, and more
AI workflows and agents that have to operate reliably in a domain where errors have consequences
A privacy and compliance posture that has to be right by design

We're moving fast in a market that rewards speed, and operating in a domain where breaking clinician trust is not recoverable.

\nThe role

We're hiring a Staff Engineer who reports to the VP Engineering and works on our highest-stakes, most ambiguous technical problems. This is an execution role. 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

And 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.

What we're looking for

Proven Technical Leadership: 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.
AI Proficiency: 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.
Product Judgment: 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.
Force Multiplier: 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.

What success looks like

3 months: 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.
6 months: 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.
1 year: 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.

$175,000 - $225,000 a year

The compensation range listed refers to an annual base salary that may vary depending on a candidate's relevant qualifications, knowledge, competencies and work experience, and other factors including market conditions. Base salary is only one aspect of our total rewards package. Be sure to check out a summary of our benefits below.

More About Tali AI

Perks and Benefits

All full-time employees enjoy:

Remote and hybrid work options & flexible work hours

Comprehensive health and wellness coverage from day one

Competitive PTO, including winter shutdown Dec 25 - Jan 1, birthdays and Taliversaries, and 'extra long' long weekends

$2000 annually in "Knowledge Dollars" to learn, grow, and level up

Quarterly socials & company outings that bring our team together beyond the day-to-day

Our Core Values

⚡️ Bold: we embrace ambitious goals, make courageous decisions, and take calculated risks to drive impactful innovation and growth

🧩 Resourceful: we're self-directed problem solvers; navigating obstacles, learning and acquiring new skills and making sound judgement calls. We consistently deliver on commitments while maintaining a high standard of quality and dependability

📣 Candid: Being, honest, transparent, and open in all interactions, fostering a culture of trust and authenticity

💛 Caring: Actively supporting and empathizing with our people - customers, patients, and colleagues to help them thrive and achieve their goals

Why Join Tali

⚖️ Impact at Scale: What you do here matters. You’ll influence the Tali experience, fueling a team that’s changing how clinicians work and how patients are cared for.

🧰 Technical Excellence: What you build here sets the bar. You’ll work with cutting-edge technology to help shape a truly world-class product.

🚀 Ownership and Growth: What you take on here truly matters. As an early-stage startup, every team member helps shape our technology, culture, and future. Whether you’re a generalist who thrives on variety or a specialist excited to build systems from the ground up, your contributions will be pivotal to what we become.

👷 Build with Purpose and Pride: What you contribute here carries real responsibility. You’ll help build and support systems that handle highly sensitive medical data with care and integrity, earning the trust of clinicians and safeguarding the safety of patients every day.

👏 A Team that Inspires: Collaborate with a talented, driven team that values innovation, humility, and a relentless focus on solving meaningful problems.

Tali Online:

🔗 Tali is one of Linkedin's Top Startups of 2025

🔗 Tali is part of the renowned Digital Supercluster Project

🔗 Check out Tali's CEO, Mahshid Yassaei on Cherry Health's Leaders in Healthcare Podcast

We thank all applicants for their interest; only those candidates selected for an interview will be contacted. Tali is committed to providing a barrier-free recruitment process for all candidates. Should you require accommodations at any point throughout the hiring process, please contact People & Culture at people@tali.ai.

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More about this job

Responsibilities

The Staff Engineer will lead high-stakes technical projects, driving them from ambiguous starting points to successful completion. They will set architectural standards, mentor the engineering team, and build robust AI-driven clinical workflows.

Requirements

Candidates must have a proven track record of technical leadership and shipping complex systems under uncertainty. Strong AI proficiency, product judgment, and the ability to act as a force multiplier for the engineering team are essential.

Skills

Technical leadership
System architecture
AI infrastructure
Reliability engineering
Product judgment
Real-time audio pipelines
Software integration
Privacy and compliance
Strategic planning
Code review
Mentorship
Problem solving
Data workflows
Stakeholder management

Benefits

Remote and hybrid work options
Flexible work hours
Comprehensive health and wellness coverage
Competitive PTO
Winter shutdown
Knowledge dollars for learning

Visa sponsorship

Not detected in the job text

Keywords

Staff Engineer
AI
Healthcare
Clinical workflows
Real-time audio
System architecture
Reliability engineering
Platform engineering
GTM engineering
Security
Privacy
Compliance
Technical leadership
Product management
Startups
Data collection
API integration
Software engineering
Mentorship
Strategic planning

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