AI Augmented Developer (full-stack, front & backend)

LGI Healthcare Solutions Santé Inc. • Montreal, QC

6d

About The Position

AI is at the core of how we build and how we modernize and scale development of our healthcare solutions. Tools, models, and practices evolve at a sustained pace, and we are looking for ambitious, curious developers who learn fast and adapt continuously. This is a full-stack role across multiple technologies. We are not looking for someone who wants to specialize in a single language or stack; we want developers who use AI every day to move fluidly across the whole platform.

Requirements

• Regular, demonstrable use of AI development tools to deliver real productivity gains
• Fast, autonomous learner: you explore, test, and progress without step-by-step guidance, and you re-skill quickly when the ecosystem shifts
• Minimum of 5 years of full-stack development experience in Java, C#, and .NET programming.
• Strong knowledge of Oracle databases (PL/SQL).
• Genuine willingness to work full-stack across multiple technologies, including legacy code, not a desire to specialize in one stack
• Ability to critically evaluate what AI produces
• Solid foundations in object-oriented programming, relational databases, and algorithmic logic
• Practical understanding of CI/CD and automated testing
• Intellectual curiosity and a taste for complex systems and architectures
• Strong communication and collaboration: you explain your reasoning, ask for help when needed, and contribute to technical discussions
• Desire to work in a regulated environment and ambition to grow

Nice To Haves

• Varied experience across multiple programming languages and stacks
• Experience modernizing or migrating legacy web applications
• CI/CD pipelines and test automation (e.g., Azure DevOps, GitHub Actions, Jenkins)
• Web accessibility (WCAG/AODA), application security (OWASP), or performance engineering
• Cloud and scalable architecture, database modeling, and enterprise or institutional software
• AI-augmented features in products, or integration of models into existing systems
• Personal projects or open source involving AI, we notice GitHub activity and side experiments
• Knowledge of data integration and messaging standards (e.g., HL7 v2).

Responsibilities

• Use AI coding assistants (Copilot, Cursor, Claude Code, etc.) every day to generate, complete, and understand code across whatever part of the stack the work requires
• Lean on AI to ramp up fast on unfamiliar technologies and codebases, rather than waiting to build deep single-stack expertise
• Generate and critically evaluate automated tests (unit, integration, end-to-end), judging their relevance and coverage
• Build AI-supported quality gates in the delivery pipeline: automated checks for compliance, accessibility, performance, and security
• Use AI to read, document, and safely modernize legacy code, reducing the risk of change
• Analyze logs, errors, and stack traces with AI alongside profiling tools to accelerate debugging and performance tuning
• Produce and maintain technical documentation with AI tools
• Write precise prompts and iterate; recognize when AI goes off track and take back control
• Quickly adopt a new tool or model when it delivers measurable gains, and share your learnings with the team
• Full-stack development of new healthcare application modules with AI as your everyday copilot
• Work fluidly across the platform's technologies: JAVA, C# / .NET, and Oracle (PL/SQL), going wherever the work is rather than staying in one lane
• Help modernize and scale the platform: evolve legacy components, optimize Oracle queries and data models, and refactor performance bottlenecks
• Build and extend CI/CD pipelines to automate builds, testing, and deployments
• Participate in code reviews, with a critical eye on AI-generated code
• Keep the end user in mind: what you build is used by medical school staff, faculty, and students, and supports the training of future physicians
• Take ownership of your deliverables from requirement through to production, including testing and documentation
• Work within applicable Canadian privacy standards for student records (e.g., PIPEDA and provincial legislation), supported by the team

Benefits

• A workplace built on trust, autonomy and collaboration
• The opportunity to grow, perform and work alongside curious and talented colleagues
• A continuous learning culture with dedicated training time, a renowed skills development platform and access to cutting-edge tools
• Stimulating projects that advance healthcare technology and support the work of over 320,000 professionals, benefiting more than 6 million patients
• A comprehensive benefits package including group insurance from day one, a group RRSP with employer contributions, 24/7 telemedicine, an employee and family assistance program, and a minimum of 3 weeks vacation per year

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed