At the heart of critical healthcare infrastructure
Montreal, Quebec
LGI Healthcare Solutions delivers a comprehensive portfolio of software solutions that are at the heart of critical infrastructure of healthcare facilities, offering reliable support for essential daily operations. Deeply rooted in Canada for over 40 years, we also serve healthcare facilities internationally, including in the United States, Australia, the United Kingdom, and France.
Hybrid · Montréal
Develop and maintain complex healthcare software modules using AI-assisted coding tools while ensuring high standards of quality and compliance. Collaborate with the team to debug multi-technological systems and contribute to the evolution of clinical data integration pipelines.
On-site · Montréal
Develop and maintain software modules using AI-assisted tools while ensuring code quality through unit testing and technical documentation. Collaborate within a Scrum team to deliver features and provide third-level operational support in a regulated healthcare environment.
On-site · Montréal
Develop and maintain B2B healthcare software modules using AI as a development copilot across a multi-language ecosystem. Responsibilities include generating AI-assisted tests and documentation, maintaining clinical data pipelines, and staying current with AI tools and practices.
On-site · Montréal
Develop and maintain healthcare application modules using C# and .NET, heavily leveraging AI tools like Copilot and Cursor for coding and documentation. Responsibilities include debugging complex multi-technology ecosystems, managing clinical data integrations, and implementing AI-augmented features.
On-site · Montréal
Develop and maintain healthcare software modules using AI-assisted coding tools within a C#, .NET, and Oracle environment. Ensure high-quality code through automated testing, documentation, and active participation in code reviews while maintaining compliance with health sector standards.
On-site · Montréal
The role involves using AI tools to accelerate software development and automating low-value tasks. Additionally, the developer will design and deploy ML architectures, data pipelines, and LLM-based solutions for healthcare environments.