Location: Toronto | 3 days/week in office

Type: Full-time | Permanent

Compensation: $200-250K CAD base + equity + benefits + 4 weeks’ vacation An AI company focused on medical imaging and clinical research is hiring a Senior Full Stack Engineer to build software that helps bring effective cancer treatments to patients sooner.

The team develops AI models that use medical imaging to predict patient outcomes and help global pharmaceutical companies make better decisions throughout clinical trials.

This is a hands‑on role spanning product development and ML infrastructure. You’ll own key parts of a clinical annotation and data platform, alongside the production systems that deploy and serve imaging models. There’s significant scope to build from the ground up, influence technical decisions, and work closely with researchers and product stakeholders.

What You’ll Do

Build applications for clinical data acquisition, management, and visualization

Develop features across React, Python/Node.js, GraphQL, and PostgreSQL

Design, deploy, and scale ML inference services using Kubernetes and Ray Serve

Own cloud infrastructure and deployment workflows using Terraform, Terragrunt, and ArgoCD

Build CI/CD pipelines that help researchers deploy models efficiently and reliably

Develop pipelines for ingesting, processing, and moving large‑scale medical imaging datasets





Collaborate with product teams and stakeholders to shape requirements and technical direction

What We’re Looking For

5+ years of software engineering experience building and operating production applications

Solid full‑stack skills across frontend development, backend services, and database design

Hands‑on experience designing and operating production workloads on Kubernetes

Strong infrastructure‑as‑code experience with Terraform and familiarity with GitOps

Experience with AWS, Docker, and modern CI/CD workflows

Practical experience using AI coding agents on existing codebases, with sound judgment around testing and review

Strong communication skills and the ability to take ownership in a fast‑moving team

Nice to Have

Experience with ML inference, computer vision, or production model‑serving systems

Familiarity with Ray Serve, Ray Data, or Ray Train

Experience with medical imaging, DICOM, or clinical data pipelines

Exposure to multi‑cloud environments or HPC tools such as Slurm

Experience in healthcare or regulated environments

Experience building custom agentic tooling, such as MCP servers, skills, or hooks

Why Join

Build technology with a direct impact on cancer research and clinical trials

Own meaningful work across both the software product and ML infrastructure

Help shape engineering practices within an AI‑native team

📌 Senior Full Stack Engineer (Winnipeg)
🏢 Arcadia
📍 Winnipeg