About this role
Tali AI is hiring a Senior or Staff Applied AI Engineer to join its engineering team in Toronto. This full-time role suits an experienced engineer ready to own production-grade machine learning systems that help clinicians reclaim their time from administrative tasks.
Role Overview
In this position, the engineer owns end-to-end artificial intelligence systems, encompassing models, prompts, retrieval, data pipelines, evaluations, and production debugging. The professional builds ambient scribes, billing agents, and medical search tools that serve healthcare providers across North America. Evaluation holds equal weight to feature development, ensuring high trust and reliability in clinical settings.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Tali AI is recognized as one of Canada's fastest-growing startups and ranks among LinkedIn's Top Startups of 2025. The organization builds a clinical operating system that integrates ambient AI scribes, billing agents, and decision support tools to help healthcare providers focus on patients rather than paperwork.
How to Apply
Interested candidates should visit the official Tali AI careers page to submit an application.
Skills and tech stack
Questions candidates ask
What is the location and work arrangement for this role?
The position is based in Toronto, Canada, operating on a full-time schedule.
What is the salary range for the Senior/Staff Applied AI Engineer?
The compensation ranges from $170,000 to $230,000 CAD per year.
How much experience is required to apply?
Candidates must have 5 or more years of experience in production machine learning, applied AI, or research engineering.
What core technologies and platforms will I work with?
The tech stack includes Python, TypeScript, Google Cloud Platform (GCP), Cloud Run, Vertex AI, Claude, and other frontier LLM and ASR providers.
What wellness and professional development benefits are provided?
Employees receive comprehensive health and wellness coverage from day one, unmetered wellness days, competitive paid time off, and $2,000 annually in Knowledge Dollars for professional growth.
