AI Augmented Developer (Full Stack - Innovation Team)
Builds and maintains healthcare software using AI tools like GitHub Copilot, C#, .NET Core, Java, Angular, React, and Kubernetes, ensuring compliance with clinical data standards.
- Compensation
- Not disclosed
- Location
- Montréal, QC, ca
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 6+ years
- Category
- Fullstack
- Posted
Skills
Nice to have
- Personal AI projects, open-source contributions, GitHub activity, and experimentation outside of work—these are noticed and highly valued.
- Familiarity with data integration or messaging standards such as HL7 v2.
Full description
AI-Assisted Development · Fast & Autonomous Learning · R&D Team
At LGI, AI is at the core of how we build software and a key pillar of our acceleration strategy to transform how clinical software is developed for Quebec's healthcare system. Tools, models, and development practices evolve rapidly, and we're looking for ambitious, curious, and passionate people who learn quickly, adapt continuously, and embrace change.
What You'll Do
- Develop and maintain enterprise B2B application modules with AI as your development copilot in a C#, .NET Core, Java, Angular, React, and Kubernetes environment.
- Work with modern build and deployment pipelines.
- Generate, validate, and continuously improve unit tests using AI-assisted development tools.
- Produce and maintain technical documentation with AI.
- Keep the end user in mind—what you build is used by clinicians and has a direct impact on patient care.
- Participate in code reviews, applying critical judgment to AI-generated code.
- Quickly explore and understand existing codebases by leveraging AI to accelerate onboarding and productivity.
- Maintain clinical data integrations, including data pipelines and HL7 v2 interfaces.
- Develop AI-augmented features and contribute to the design of AI models or integrations as needed.
- Stay current with emerging AI tools, models, and development practices, and actively share your learnings with the team.
- Take ownership of your deliverables from requirements through testing, documentation, and production deployment.
- Follow Law 25 and LSSSS compliance standards under the guidance of the team.
How You'll Use AI
- Generate, complete, and understand code using AI coding assistants such as GitHub Copilot, Cursor, Claude Code, and similar tools across a dynamic, multi-language technology stack.
- Generate unit test cases and critically evaluate their quality, relevance, and coverage.
- Produce technical documentation from existing code.
- Analyze error messages, logs, and stack traces, using AI alongside code profiling tools to accelerate debugging.
- Explore and map unfamiliar codebases to become productive quickly.
- Write precise prompts, iterate effectively, recognize when AI is producing unreliable output, and take control when necessary.
- Quickly adopt new AI tools and models whenever they provide measurable productivity gains.
What We're Looking For Above AllEssential
- Minimum 6 years of software development experience with technologies such as C#, .NET Core, Java, Angular, React, Kubernetes, and related technologies.
- A fast, self-directed learner who explores, experiments, and grows independently without requiring step-by-step guidance, and who quickly adapts as technologies and the AI ecosystem evolve.