Job Opportunities API

AI Application Developer   Who We Are: 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. We are Quadbridge. See how we’re building tomorrow’s solutions, together.  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. You will work throughout the AI application lifecycle—from ideation and prototyping to production deployment—collaborating with cross-functional teams and business stakeholders. Key Responsibilities : Duties and responsibilities include, but are not limited to, the following: 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. Connect AI applications to enterprise systems via connectors, APIs, MCP servers, and Microsoft Cloud components. 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. Stay current on emerging AI/ML techniques and Microsoft's AI tooling ecosystem. Qualifications: Proficiency in Python, with experience building and integrating AI-driven applications Hands-on familiarity with general AI and generative AI concepts and capabilities 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) Experience building, deploying, and managing AI agents in production environments Strong problem-solving skills and ability to work independently on ambiguous problems Clear communicator, comfortable working cross-functionally with technical and business teams Nice-to-have: Familiarity with prompt engineering and LLM orchestration frameworks Background in enterprise architecture or cloud solution design Experience with additional Microsoft Cloud AI tools (e.g., Azure AI Studio, Semantic Kernel) Education & Certifications: 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)   Why Quadbridge: • Invest in Your Future –  Benefit from our RRSP program to help you plan ahead  • Grow With Us –  Take advantage of ongoing professional training and development opportunities. • Comprehensive Coverage –  A complete health, dental, life, STD and LTD insurance plan • Top-Tier Equipment –  We provide everything you need to do your best work. • A Vibrant Workplace –  Join us for monthly social a