---
title: 'Senior/Staff Applied AI Engineer at Tali AI'
canonical: 'https://feeny.ai/job/senior-staff-applied-ai-engineer-tali-ai-toronto-pkvmmew0hy6y'
type: 'job'
last_seen: '2026-09-10'
---

# Senior/Staff Applied AI Engineer at Tali AI

- **Company:** Tali AI
- **Location:** Toronto, Canada
- **Compensation:** $170k–$230k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-13
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.lever.co/tali-ai/af220e78-9a27-4c94-b2ef-833c182da304

## Job description

## About Tali

Clinicians are drowning in paperwork. We're giving them their time back. Tali AI is one of the fastest-growing startups in Canada, on a mission to make healthcare more accessible with AI. We're building the clinical operating system: an ambient AI scribe, a billing agent, scheduling, clinical decision support, and more on one platform that allows clinicians to look at their patients instead of their keyboards. Thousands of clinicians across Canada and the US already use Tali, across dozens of specialties, integrated deeply with the fragmented landscape of North American health-record systems. The traction is real: multiple commercial product lines, 15M+ patient visits documented on the platform, 70+ years worth of time saved for clinicians in under three years. We move fast in a market that rewards speed, in a domain where breaking clinician trust is not recoverable.

## The role

You own AI systems end to end. The models, the prompts, the retrieval, the data, the evals, and the debugging when a clinician says the output was wrong. The ambient scribe listens to a visit and writes the clinical note. A recommender suggests the billing codes a clinician can claim for that visit. Medical search answers a clinical question from real sources. And a growing number of agents run inside the company and in the product. You work across all of it. Evaluation carries the same weight here as any product feature. It is what makes the rest of it trustworthy.

## What you'll work on

Build the evaluation pipelines that decide whether the AI is good enough to ship. Automated judges, regression suites, human review, and the datasets underneath them. On the audio path that means word and speaker error rates and the audio-quality measures that tell you a recording was worth trusting. Diagnose failure modes and fix them. The lever might be the prompt, the retrieval, the routing, the model, the audio capture, or a fine-tune. Build production agents. Tool use, orchestration, guardrails, and recovery when a step fails. You also build what sits under them: search, vector storage, and the harness the agents run in. Debug one visit end to end, then find every case like it. You trace a single interaction from audio to delivered note and work out what broke. Then you slice the warehouse to size the problem and prove the fix. Decide which model serves which request, and change that safely. Weighted routing, staged rollout, and attribution good enough that you know which change moved the number. Own these systems in production. You get the alert when quality slips, you find the cause, and you decide what ships to fix it. Turn a vague clinical complaint into a problem statement, a metric, and a plan the team can act on. Set the bar for how Tali does applied AI. Your evals become the evals everyone else runs.

## What we're looking for

5+ years in production ML, applied AI, or research engineering. You have owned something that ran for real users and stayed up. Deep evaluation experience. You have built graders, regression suites, or judge pipelines, and you know how to tell when a judge is fooling you. Agentic systems. Multiple models, tool calls, and retrieval, with the failure recovery that makes them safe to run. Strong systems engineering. Backend services, data pipelines, and enough observability that you can answer questions about production quickly. Data-centric instincts. You improve an AI system by improving its data and its feedback loops, and you can say when a prompt change is the smaller lever. Python, plus modern ML tooling. You write code others can run. Candour. You give hard feedback on a colleague's design, and you take it on your own without going quiet. You make the case for the harder right answer in engineering terms and in business terms, then you ship it and own the result. You raise the people around you. Your review makes the next engineer's system better. This is a senior or staff role depending on your track record. The levelling conversation happens at the end of the interview process. Bonus points Speech recognition or real-time audio. A regulated domain, such as healthcare or finance. Clinical experience of any kind. Rigor and shipped systems matter more to us than the domain you learned them in.

## What you'll work with

Python and TypeScript. GCP and Cloud Run. Vertex AI, Claude, and other frontier LLM and ASR providers. Is this you? You're passionate about the application of technology in our users' lives. You default to the simplest way to deliver value to users. And you know when the simple answer stops being good enough. Then you make the technical case and the business case for the harder one, and you ship it. Both halves matter. A technical case with no business case is an unfunded idea. A business case with no technical case is a guess dressed up as a pitch. If you don't have ground truth data, you mine production for weak labels and generate what you can. When you hit a real ceiling, you cost out annotators, write the case for the investment, build the quality checks, and run the program. If audio quality is a deep issue for some users, you squeeze what you can from the signal, and you know when and how to make the case for shipping microphones to users. Then you drive the execution. You build our eval tooling even when it's unglamorous. You debug traces, you talk to clinicians about what went wrong, and you know when to invest in better infrastructure to slash toil. What success looks like 3 months: You own a real AI problem and you're driving it with minimal oversight. Anyone can now see how good that system is, and how good it was last week. 6 months: Evaluation and rollout are a system you helped build. Experiments repeat, regressions get caught before a clinician sees them, and the team ships faster because of it. 1 year: Tali's AI systems have taken a step change in capability. The next generation of agents is in production. Clinicians trust the output because the rigor behind it is real and repeatable. When a model or eval problem gets hard, people come to you. Working at Tali

## Benefits

Flexible work hours Comprehensive health and wellness coverage from day one, including unmetered wellness days 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 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

## About Tali AI

## Company Overview
- **One-liner**: Tali AI builds an enterprise-grade, voice-enabled AI clinical workflow platform — including an ambient AI scribe, medical dictation, and clinical decision support — that automates documentation so clinicians can focus on patients instead of keyboards.
- **Entity Type**: Private (Seed stage; two seed rounds completed)
- **Headquarters**: Toronto, Canada (with presence in the United States)
- **Founded**: 2020
- **Founders**: Mahshid Yassaei (CEO) and Hesam Dadafarin (CTPO)

## Core Business
- **Primary industry**: Healthcare technology / AI-powered clinical documentation (ambient AI scribe, medical dictation, billing, and clinical decision support)
- **Target customers**: B2B — healthcare providers, clinics, and health systems across Canada and the U.S., spanning dozens of specialties
- **Mission or purpose statement**: "Empower the healthcare system and have fun while doing it" — solving complex problems and working toward eradicating barriers faced by the healthcare system, with a focus on reducing administrative burden and building for interoperability, scalability, and long-term impact.

## Products & Services
- **Ambient AI Scribe**: Listens to patient visits and turns them into complete, structured clinical notes in minutes across 100+ languages. Clinicians save more than 3 hours per week and reduce documentation time by up to 69.5%.
- **Medical Dictation**: Voice-enabled dictation that uses NLP/ML to understand and respond to spoken commands, supporting English, French, Farsi, and Spanish (with more languages planned).
- **Medical Search / Clinical Decision Support**: Provides sourced, evidence-based guidance from Open FDA and Merck Manuals directly inside the encounter — designed to inform a clinician's judgment, not replace it.
- **Billing Agent**: Automatically fills government and insurance forms from the encounter and structured note, with live previews during the visit; cuts form-related time by up to 50% and includes monthly reconciliation summaries for rejected claims.
- **Referral & Follow-up Management**: Surfaces referrals, labs, and other follow-ups directly from the encounter and generates referral or consult letters from approved tasks.
- **EMR Integration**: Deep integration with Canadian EMRs including PS Suite, CHR, Med Access, and Medesync, with patient-aware workflows that reduce manual entry.
- **Admin Controls & Governance**: Centralized tools for user management, analytics, and compliance, giving clinic leaders visibility into adoption and ROI.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total Funding — two seed rounds: Seed round (2022-04-13) led by WELL Ventures; Seed round (2023-11-08) led by TMV and Esplanade Ventures (5 investors total)
- **Notable Investors/Partners**: TMV, Esplanade Ventures, WELL Ventures
- **Growth Signals**:
  - 15M+ patient visits documented on the platform and 70+ years of clinician time saved in under three years
  - Multiple commercial product lines already live
  - Headcount of 37 (+1.9% YoY), with active job postings up +40% monthly, +250% quarterly, and +133.3% yearly
  - Thousands of clinicians across Canada and the U.S. using the platform across dozens of specialties
  - Workforce distributed across Canada, Pakistan, Russia, and the United States

## Competitive Advantages
- **Deep EMR integration**: Built for the fragmented North American health-record landscape with deep, patient-aware integrations into major Canadian EMRs (PS Suite, CHR, Med Access, Medesync) — a significant barrier to entry.
- **Full-stack clinical workflow platform**: Not just a scribe — Tali combines ambient documentation, billing automation, referral management, and evidence-based medical search in one platform, creating a broader "clinical operating system."
- **Trust and accuracy focus**: Operates in a domain where "breaking clinician trust is not recoverable," with rigorous evaluation pipelines, guardrails, and production-grade reliability standards for clinical data handling.
- **Multilingual and specialty breadth**: Supports 100+ languages for notes and multiple spoken languages for dictation, with adoption across dozens of specialties.
- **Measurable ROI**: Demonstrated outcomes — 3+ hours saved per clinician weekly, up to 69.5% reduction in documentation time, and up to 50% less time on forms.

## Strategic Focus
- **Build the "clinical operating system"**: Expanding beyond the ambient scribe into a unified platform including billing agents, scheduling, clinical decision support, and additional AI agents.
- **U.S. market expansion**: While deeply integrated with Canadian EMRs, the company is actively targeting U.S. healthcare providers with an enterprise-grade platform.
- **AI capability depth**: Investing heavily in applied AI — evaluation pipelines, agentic systems, model routing, fine-tuning, and production-grade ML infrastructure (GCP, Cloud Run, Vertex AI, Claude, and other frontier LLM/ASR providers).
- **Scaling the team**: Aggressive hiring across engineering, product, operations, and go-to-market roles (7 active postings with strong growth trends).

## Why Work Here
- **Culture & ratings**: Employer rating of 4.8/5.0 (8 reviews) with strong culture (4.8), work-life balance (4.6), compensation (4.6), and career growth (4.4) scores.
- **Work model**: Hybrid — based in Toronto with flexible work hours.
- **Benefits**:
  - Comprehensive health and wellness coverage from day one, including unmetered wellness days
  - Competitive PTO including winter shutdown (Dec 25 – Jan 1), birthdays, Taliversaries, and "extra long" long weekends
  - $2,000 annually in "Knowledge Dollars" for learning and growth
  - Quarterly socials and company outings
- **Engineering culture**: Engineers own AI systems end-to-end — from models and prompts to retrieval, evals, and production debugging. Fast-moving environment with a strong emphasis on data-centric AI, rigorous evaluation, and shipping safely in a high-trust domain.
- **Team composition**: Small (37 employees) with a technical-heavy team (11 in technical roles), plus product, design, sales, and medical expertise; senior and specialist talent from companies like Evenset, Smart Nora, and Digikara.

## Sources
1. [LinkedIn — Tali AI](https://linkedin.com/company/tali-ai)
2. [Tali AI — About Us](https://tali.ai/us/about-us)
3. [Tali AI — Features](https://tali.ai/us/features)
4. [Tali AI — Careers (Lever)](https://jobs.lever.co/tali-ai)
5. [Tali AI — Senior/Staff Applied AI Engineer Job Posting](https://jobs.lever.co/tali-ai/af220e78-9a27-4c94-b2ef-833c182da304)

## Other roles at Tali AI

- [Staff Engineer](https://feeny.ai/job/staff-engineer-tali-ai-toronto-pqxh02raqd5m) — Toronto, Canada
- [Bilingual Customer Success Specialist](https://feeny.ai/job/bilingual-customer-success-specialist-tali-ai-toronto-gyrtk8x5avzg) — Toronto, Canada
- [Account Manager](https://feeny.ai/job/account-manager-tali-ai-toronto-27y7r9ypk5gp) — Toronto, Canada
- [Growth Marketer](https://feeny.ai/job/growth-marketer-tali-ai-toronto-dcxnrz6hda4r) — Toronto, Canada
- [Engineering Manager](https://feeny.ai/job/engineering-manager-tali-ai-toronto-t9j6q2xd3afa) — Toronto, Canada