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AI Software Developer

Job in Burlington, Ontario, Canada
Listing for: Wolseley Inc
Full Time position
Listed on 2026-10-24
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 65000 - 80000 CAD Yearly CAD 65000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: AI Software Developer ON)

At Wolseley Canada, our leading-edge is the knowledge and insight found in every corner of our organization. Here, you’ll build strong relationships and support critical industries that touch the lives of Canadians. Every day, we show up with intention and pride; in ourselves, our associates, and our customers. You’ll have a solid foundation to try new things, uncover new possibilities, challenge yourself, and grow your career.

Does this sound like somewhere you’d like to be? Wolseley Canada is the leading wholesale distributor of plumbing, HVAC/R, waterworks and industrial products in the country and working here means, a network of possibilities, a place you are valued and a higher standard. Join the Pros! Why You’ll Love Working Here

Join the Pros! Why You’ll Love Working Here
  • Safety-focused and inclusive workplace culture
  • Comprehensive benefits with premiums fully paid for by the company for the "Core" package starting day 1
  • Competitive retirement savings program including RRSP and Defined Contribution pension plan with employer matching up to 5.25%
  • Day 1 Paid vacation, sick time, and paid birthday off
  • Annual bonus and profit-sharing opportunities
  • Employee discounts on leading plumbing, HVAC/R, and industrial products
  • Education reimbursement and ongoing career development opportunities
  • Employee referral programs and recognition initiatives

The Opportunity

Join the Burlington location as an AI Software Developer and play a key role in developing innovative AI and automation solutions. You’ll use your expertise in AI, software development, and emerging technologies to build practical, scalable solutions that improve business processes, increase efficiency, and solve real-world challenges. This is a great opportunity to contribute to meaningful projects while continuing to grow your skills in a fast-evolving field.

What

you will do
  • Design, develop, test, and deploy AI-powered applications and solutions using Python, .NET/C#, Microsoft Azure, and other appropriate technologies.
  • Integrate AI models, agents, APIs, frameworks, and existing business applications to create practical, scalable solutions.
  • Design and implement Agentic AI and process automation solutions to improve business processes, efficiency, and reduce manual effort.
  • Develop and enhance computer vision and Parts Detection solutions, improving product identification, accuracy, and overall system performance.
  • Research and evaluate emerging AI technologies, including LLMs, RAG, MCP, embeddings, and AI agent frameworks, and develop proof-of-concepts where appropriate.
  • Optimize AI solutions for performance, reliability, scalability, security, and cost, including model usage, token consumption, and cloud resources.
  • Support and continuously improve production AI solutions by monitoring performance, troubleshooting issues, and implementing enhancements.
  • Follow established software development, testing, source control, CI/CD, documentation, and code review practices, while collaborating with technical teams and business stakeholders.
What you will bring
  • Post-secondary education in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field.
  • Experience in software development, with proficiency in Python and/or .NET/C#, or similar programming languages.
  • Experience developing, integrating, or supporting AI, machine learning, generative AI, or computer vision solutions.
  • Knowledge of AI technologies and concepts such as LLMs, RAG, embeddings, prompt engineering, AI agents, APIs, and AI frameworks.
  • Experience with Microsoft Azure or other cloud platforms, including developing or deploying cloud-based applications, is considered an asset.
  • Understanding of databases, REST APIs, source control, CI/CD, testing, and modern…
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