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Artificial Intelligence Software Developer Jobs in Quebec

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Artificial Intelligence Software Developer information

What is an artificial intelligence software developer?

An Artificial Intelligence (AI) Software Developer is a technology professional who designs, builds, and maintains software applications that utilize AI and machine learning techniques. They work with algorithms, data processing, and neural networks to create intelligent systems capable of tasks such as image recognition, language processing, and decision-making. These developers often collaborate with data scientists and engineers to integrate AI models into products and services, continually improving their accuracy and efficiency. Their work is fundamental in creating smarter applications across industries like healthcare, finance, and e-commerce.

What are the key skills and qualifications needed to thrive as an artificial intelligence software developer, and why are they important?

To thrive as an Artificial Intelligence Software Developer, you need strong programming skills (especially in Python, Java, or C++), a solid background in mathematics and statistics, and typically a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud computing platforms, and relevant certifications like Google Cloud Professional Machine Learning Engineer are highly beneficial. Critical thinking, creativity, and effective collaboration are standout soft skills for this role. These competencies enable the development of innovative AI solutions, efficient problem-solving, and successful teamwork on complex projects.

What are some common challenges faced by artificial intelligence software developers when transitioning machine learning models from development to production?

Artificial Intelligence Software Developers often encounter challenges when moving machine learning models from the development environment to production, such as ensuring scalability, managing data inconsistencies, and maintaining model performance over time. Integrating models into existing systems may require collaboration with DevOps and data engineering teams to address deployment pipelines, monitoring, and version control. It's also important to implement robust testing and continuous evaluation processes to catch data drift or performance degradation. Overcoming these challenges requires strong communication skills and an understanding of both AI algorithms and software engineering best practices.

What is the difference between Artificial Intelligence Software Developer vs Machine Learning Engineer?

AspectArtificial Intelligence Software DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; programming skillsBachelor's in CS, Data Science, or related; strong math and programming skills
Work EnvironmentSoftware development teams, AI projects, R&DData-focused teams, model development, deployment
Employer & Industry UsageTech companies, research labs, startupsTech firms, finance, healthcare, research institutions
Common Search & ComparisonYesYes

Artificial Intelligence Software Developers design and implement AI applications, focusing on integrating AI algorithms into software solutions. Machine Learning Engineers specialize in developing and deploying machine learning models, often working with large datasets. While both roles require programming skills and knowledge of AI concepts, AI Developers focus on broader AI system integration, whereas ML Engineers concentrate on model training and optimization.

What cities in Quebec are hiring for Artificial Intelligence Software Developer jobs?

Cities in Quebec with the most Artificial Intelligence Software Developer job openings:

Infographic showing various Artificial Intelligence Software Developer job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

ML/LLM and Generative Artificial Intelligence (GenAI) specialist

Levis, QC • Hybrid

Full-time

Medical, Retirement, PTO

Posted 12 days ago


Key responsibilities

  • Develop, launch and maintain AI, GenAI and LLM solutions in accordance with architectural standards and frameworks.

  • Implement LLMOps practices for automation, deployment, continuous integration, and production model oversight.

  • Participate in the full life cycle of models, including evaluation, deployment, performance monitoring, and continuous improvement.


Job description

Temporary position for 12months, with possibility of extension.


The Cybersecurity Monitoring Ecosystem Department is currently looking to add an ML/LLM and Generative AI specialist to the team responsible for the industrialization, governance and development of the organization's AI capabilities. You'll work in a modern cloud environment where the performance, security, compliance and governance of AI solutions are central to supporting our strategic business sectors. As an LM/LLM and GenAI specialist, you'll contribute to the implementation, evolution and operation of the Security Office's AI capabilities. You'll work in close collaboration with the AI Architect and data platform teams on the industrialization of GenAI solutions and the application of LLMOps practices to enable the reliable, secure and high-performance deployment of production models. As a key member of the LLMOps squad, your role consists in making sure the directions set by the AI Architect are fulfilled. You'll help build and develop robust, secure and operational GenAI capabilities that reflect the organization's strategic objectives, as set by the Security Office. More specifically, you will be required to:

  • Develop, launch and maintain AI, GenAI and LLM solutions in accordance with Desjardins Group's architectural standards and frameworks.
  • Implement the LLMOps practices necessary for automation, ongoing deployment, continuous integration and production model oversight.
  • Participate in the full life cycle of the models, including evaluation, deployment, performance monitoring, versioning, and continuous improvement.
  • Develop and integrate processing chains for language models, retrieval-augmented generation (RAG) mechanisms and inference services.
  • Contribute to optimizing the performance, resilience and operational efficiency of AI solutions released on the data platform.
  • Collaborate with the security, platform, data and architecture teams to ensure security, compliance and governance requirements are met.
  • Implement monitoring, observability and alert mechanisms to help track the quality, usage and stability of AI solutions.
  • Participate in the evaluation of cloud models, tools, and services in order to identify solutions that meet the needs of the Security Office.
  • Contribute to the continuous improvement of software development, automation and operational practices associated with the organization's AI capabilities.

What we offer*

  • Competitive salary and annual bonus
  • 4 weeks of flexible vacation starting in the first year
  • Defined benefit pension plan that provides predictable, stable income throughout retirement
  • Group insurance including telemedicine
  • Reimbursement of health and wellness expenses and telework equipment

* Benefits apply based on eligibility criteria.

#LI-Hybrid


What you bring to the table

  • Bachelor's degree in computer science, software development or a related field
  • A minimum of six years of relevant experience
  • Please note that other combinations of qualifications and relevant experience may be considered
  • Knowledge of French is required
  • Expertise in software development, Machine Learning or artificial intelligence
  • Advanced knowledge of Machine Learning concepts
  • Advanced knowledge of Large Language Models (LLM) and GenAI solutions
  • Advanced knowledge of Python and the main modern AI ecosystems
  • Mastery of LangChain, Semantic Kernel, Hugging Face, OpenAI, Azure OpenAI and other similar tech
  • Advanced proficiency with Databricks, MLflow, Azure Machine Learning or other AI industrialization platforms
  • Familiarity with the creation and implementation of RAG solutions, AI agents, chatbots and other similar services
  • Knowledge of model evaluation techniques, prompt engineering, context management and response quality improvement
  • Knowledge of fine-tuning, embeddings, vector search, and knowledge base concepts
  • Familiarity with the application of MLOps and LLMOps practices in production environments
  • Ability to translate complex business needs into robust and actionable AI solutions


Equity, Diversity, Inclusion and Accessibility

At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.

If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!

Trade Union (If applicable)

Job Family

Data (FG)

Unposting Date

2026-09-16