About this opportunity
Opportunity Overview
OmaScan, a healthtech startup, is looking for a Founding AI Engineer to help develop an AI assistant for home assessments. The company aims to improve the lives of seniors and people with accessibility challenges by automating the paperwork process for clinicians. This role is for a very early-stage company, and the engineer will play a key part in shaping the product and engineering culture. The ideal candidate will have experience with retrieval, structured outputs, and handling messy multimodal inputs. They should also have a background in shipping LLM systems into production and working in fast-paced environments or startups. The role involves a lot of freedom and responsibility, including ingesting raw assessment data, generating reports, and building post-assessment follow-up workflows. OmaScan has raised funding and has real pilots across Canada, but it is still an early-stage company with a lot to build. This founding-level role comes with founding equity, a competitive salary, and the potential for significant upside.
Responsibilities
- Ingesting messy inputs, such as dictations, photos, measurements, and 3D scans, and turning them into clean, structured data
- Generating reports that fill existing clinic templates and creating quick summaries for assessors to share with clients, vendors, or colleagues
- Building agentic post-assessment follow-up workflows
- Handling health data correctly, safely, and in line with privacy regulations
- Weighing in on product decisions and participating in customer calls
- Working alongside existing engineers and outside contractors
- Traveling to pilot sites and conferences as needed
Benefits
- Founding equity
- Competitive salary
- Opportunity for significant upside
- Hybrid work arrangement in Toronto or St. John's
Requirements & Qualifications
- Experience with retrieval, structured outputs, and messy multimodal inputs
- Background in shipping LLM systems into production
- Ability to own something end-to-end and make architecture calls independently
- Experience working in fast-paced environments or startups, particularly in healthtech
- Strong experience with full-stack development, mobile application development, and LLM application development
- Knowledge of real-time AI visual processing, product sense, and judgment to make product calls
- Bonus experience with multimodal AI, agentic and tool-using systems, healthcare or regulated industry experience, 3D data ingestion and pipelines, and AWS infrastructure depth
How to Apply
- Review the job description and requirements to ensure you are a good fit for the role.
- Prepare your application, including a brief description of your most interesting full-stack project and why this role interests you.
- Click the Apply button below to submit your application.
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