Senior Full-Stack Engineer – AI Health Tech (Hybrid)

Mosaic Clinical Technologies; Toronto; Hybrid; CAD 200,000 - 250,000; Full time

Benefits offered by this job

Flexible Remote Schedules

Generous PTO plans and holidays

Great Place to Work certification

Job summary

Mosaic Clinical Technologies (Canada) is building an AI-native imaging platform to transform radiology. This role leads cloud-native infra, microservices, and AI model deployment supporting DICOM/HL7/FHIR integrations and healthcare compliance.

Hybrid Toronto-based position with occasional international travel for workshops, training, and support. You will partner with data science, product, and clinical stakeholders to improve workflows and patient care outcomes.

Qualifications

• 5+ years of professional software development experience with platform delivery.
• Experience designing scalable microservices and REST APIs.
• Experience deploying cloud-native applications on AWS and healthcare integrations (DICOM/HL7/FHIR).

Responsibilities

• Design, build, and maintain cloud-native infra, microservices, and APIs for scalable AI deployment.
• Collaborate with Data Science to productionize data and ML pipelines.
• Establish engineering best practices for code quality, testing, CI/CD, and compliance.
• Lead reviews, provide architectural guidance, and mentor engineers.
• Work with product and clinical teams to improve workflows and patient care.
• Occasional international travel for workshops, training, and support.

Skills

C# backend

.NET Core

AWS cloud

Terraform

CI/CD automation

Observability

HIPAA & SOC 2

AI model production

DICOM/HL7-FHIR integrations

Agile collaboration

Education

Bachelor’s in CS or related field

Tools

GitHub Copilot

Claude

Job description

Mosaic Clinical Technologies (Canada) is building an AI-native imaging platform to transform radiology. This role leads cloud-native infra, microservices, and AI model deployment supporting DICOM/HL7/FHIR integrations and healthcare compliance.

Hybrid Toronto-based position with occasional international travel for workshops, training, and support. You will partner with data science, product, and clinical stakeholders to improve workflows and patient care outcomes.