Quadbridge

AI Application Developer

Montreal, QC · Full-time

Sponsorship not specifiedDetected 19 hours ago

PythonAzureMachine LearningLLMsAgentic AIAI OrchestrationCollaborationProblem Solving

About the role

You will work throughout the AI application lifecycle-from ideation and prototyping to production deployment-collaborating with cross-functional teams and business stakeholders.

Develop, test, and deploy functional automation and AI solutions (e.g., Generative AI, semi-autonomous agents and agentic AI) using platforms such as Microsoft Foundry, Copilot Studio, and other tools.
Design prompt flows, orchestrations, and grounding strategies.
Build and maintain integrations, APIs, and automation scripts to support AI/ML solutions.
Leverage Azure services (e.g., Azure AI, Azure Functions, Azure OpenAI) to build scalable, secure architectures.
Structure content and datasets to optimize retrieval, grounding, and AI accuracy.
Collaborate with architects and stakeholders to translate business requirements into working AI solutions.
Conduct testing, document solutions, and monitor, troubleshoot, and optimize deployed agents for performance, reliability, and continuous improvement.
Collaborate with business stakeholders, support adoption, and participate in change management.
A Vibrant Workplace - Join us for monthly social and team building events.

Proficiency in Python, with experience building and integrating AI-driven applications
Experience with Microsoft Foundry and/or Copilot Studio, or strong ability to ramp quickly
Working knowledge of Azure services (e.g., Azure AI, Azure Functions, Azure OpenAI)
Strong problem-solving skills and ability to work independently on ambiguous problems
Hands-on familiarity with general AI and generative AI concepts and capabilities
Experience building, deploying, and managing AI agents in production environments
Clear communicator, comfortable working cross-functionally with technical and business teams
Nice-to-have:
Background in enterprise architecture or cloud solution design
Education & Certifications:

Familiarity with prompt engineering and LLM orchestration frameworks
Experience with additional Microsoft Cloud AI tools (e.g., Azure AI Studio, Semantic Kernel)
Diploma or degree in Information Technology, Computer Science, or related field
Relevant certifications (e.g., Microsoft Certified: Azure AI Engineer Associate, Microsoft Certified: Power Platform Solution Architect Expert)
Grow With Us - Take advantage of ongoing professional training and development opportunities.
Top-Tier Equipment - We provide everything you need to do your best work.
Bring Your Best Friend - Our offices are pet-friendly!
Monday to Friday, 8:30 a.m. to 5 p.m.

Invest in Your Future - Benefit from our RRSP program to help you plan ahead
Comprehensive Coverage - A complete health, dental, life, STD and LTD insurance plan

Quadbridge is a fast-growing North American IT solutions provider, empowering businesses to navigate complex challenges daily, through strong partnerships with leading technology providers and close collaboration with our team and customers.
With locations in Kitchener, Montreal and Vancouver, we strive to create an energetic, fun workplace where ambitious, like-minded teammates collaborate, innovate, and thrive as we continue to grow our national footprint.
See how we're building tomorrow's solutions, together.
We are Quadbridge.
Role Overview
Reporting to the Director, Enterprise Architecture & AI, the primary duties and responsibilities of the AI Application Developer is to specialize in leveraging the Microsoft AI ecosystem to design, build, and integrate AI-powered solutions that enhance customer experience, operational efficiency, and enterprise workflows.

This listing is sourced directly from Quadbridge's careers page and normalized into a canonical job model.