AI Augmented Developer

LGI Healthcare Solutions Santé Inc.•Montreal, QC

6d•Remote

About The Position

AI is at the core of how we build. Our web-based Student Information System (SIS) supports medical schools across Canada, and we are accelerating how it is built, modernized, and scaled with AI at the center of our practices. 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. Proficiency in any specific technology is an asset, not a prerequisite. What matters is your ability to learn, experiment, and deliver with the help of AI, and to do it better every week.

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
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

Hands-on exposure to any of: Adobe ColdFusion (CFML), .NET / C#, Oracle (SQL, PL/SQL), or React
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

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
Develop and maintain application modules full-stack, with AI as your everyday copilot
Work fluidly across the platform's technologies: Adobe ColdFusion, .NET, Oracle, and React, 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