Software Developer - Applied AI
Job in
Toronto, Ontario, M5A, Canada
Listing for:
MNP
Full Time
position
Listed on 2026-01-13
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
Job Details
Description
Inspirational, innovative and entrepreneurial - this is how we describe our empowered teams. Combine your passion with purpose and join a culture that is thriving in the face of change.
Make an impact with our Technology - Development team as a Software Developer – Applied AI. This diverse team of tech-savvy builders and problem solvers embraces digital transformation, and the possibilities technology brings to the future of our industry. We’re looking for team members who have a strong sense of ownership and drive, and who thrive on delivering high-quality solutions that are redefining the way MNP does business.
MNP is proudly Canadian. Providing business strategies and solutions, we are a leading national accounting, tax and business advisory firm in Canada. Entrepreneurial to our core, our talented team members transcend obstacles into opportunities and are successfully transforming mid-market business practices.
Responsibilities
With a focus on the Microsoft technology stack, you will be responsible for developing and implementing generative AI solutions that leverage cutting-edge technologiesWork closely with cross-functional teams to prototype Generative AI solutions and validate them against business needs and requirementsCollaborate closely with stakeholders to ensure solutions are aligned with business needs.Design solutions with production deployment requirements in mind, focusing on reliability, scalability, and cost-effectivenessOptimize AI solutions by selecting the most appropriate models and designing for efficiency and accuracyCollaborate with data scientists when machine learning models are part of the proposed solutionSkills and Experience
Hands-on experience building solutions Microsoft Azure, Azure AI Studio, Azure OpenAI Services, Azure AI Search (or similar vector databases).Strong understanding of foundation models and experience implementing Retrieval-Augmented Generation (RAG) architectureProficiency in Python and cloud-native software development, including coding, testing, and debuggingA proven record of taking solutions from ideation into production, with a mindset focused on building durable, scalable, and reliable applicationsA strong understanding of the importance of testing and validating AI solutions to measure accuracy, check for hallucinations, and ensure responses are relevant and safeFamiliarity with deploying and managing Azure resourcesExperience with the following tech stack is considered an asset: C#, .NET (Core/6+), Typescript, and Entity Framework. Tools like Azure Content Safety. Terraform Building and maintaining CI/CD pipelines (e.g., Azure Dev Ops, Git Hub Actions). Azure SQL or Cosmos
DB. Building complex chatbots or workflow automation using agentic AI, including knowledge of Microsoft Copilot Studio
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