Senior Software Developer 2, Artificial Intelligence, Kitchener

Working on the D2L Labs team, you will lead the development and incubation of new products and features, integrate cutting‑edge techniques and tools into our advanced development processes, conduct ongoing AI research to further enhance our understanding and capabilities, and contribute to AI thought leadership through engagement with strategic clients. Your efforts will build on our strong foundation of innovation,helping the organization leverage AI opportunities while exploring its limits and understanding associated challenges. You will foster a culture of continuous learning and innovation, ensuring we remain agile and responsive to the ever‑evolving technological landscape.

What you’ll bring to the role:

Strong communication skills

for technical discussions and collaboration, including the ability to articulate complex AI concepts to non‑technical stakeholders.

Knowledge and experience built on a body of work demonstrating a consistent ability to complete technically challenging projects , particularly those involving AI and machine learning.

Hands‑on experience in building applications delivering real value to users with large language models (e.g., GPT, Claude, Llama) and/or AI agents, including their integration into enterprise software platforms.

An alignment to AI ethics and AI practices

to ensure the things you build will not only deliver value to users but not do so at the expense of others.

Strong collaboration skills

that will allow you to work with product management, product design, and key stakeholders to deliver meaningful and aligned results.

Deep understanding of Computer Science topics

including data structures, algorithms, databases, distributed systems, and

machine learning .

Experience with object‑oriented design

and proficient coding skills.

Experience with common full‑stack languages,

such as NodeJS, JavaScript, Typescript, and Python,

and common frontend frameworks,

such as React, Angular, and Vue.

Familiarity with vibe coding , with experience in creating intuitive and responsive user interfaces.

Knowledge of software development methodologies

(e.g., Agile, Scrum) and

best practices

for AI model deployment and maintenance.

Expected Qualifications&Experience

Bachelor’s degree in computer science, computer engineering, or a related technical discipline ; advanced degrees are beneficial but not mandatory.

Proven experience in applying strong problem‑solving skills to tackle complex technical challenges and devising innovative solutions.

8+ years of experience in software development, especially in developing highly scalable, cloud‑based platforms or applications.

5+ years of experience with cloud platforms and their associated best practices

(e.g., AWS, Azure, Google Cloud) and

DevOps practices .

Experience with AI ethics and responsible AI practices and an understanding of the ethical considerations and best practices in AI development and deployment.

Proficiency in setting up and maintaining continuous integration and continuous deployment pipelines to increase delivery quality and velocity.

Experience with security principles and practices in software development, particularly in the context of AI and cloud‑based applications.

Demonstrated experience in working with large language models (e.g., GPT, Claude, Llama) and applying advanced prompt engineering techniques to optimize model performance and outputs. This includes crafting effective prompts (including the use of techniques like chain of thought and retrieval‑augmented generation), fine‑tuning models, and integrating LLMs into enterprise applications to deliver impactful solutions.

Understanding of agent‑based systems, including multi‑agent systems and AI agents. This includes knowledge of agent architectures, communication protocols, and the ability to conceptualize and implement agents that can autonomously perform tasks and interact with other agents.

Ability to lead and mentor junior developers, fostering a collaborative and growth‑oriented environment.

Demonstrated experience with working with an agile team, leveraging appropriate tools to facilitate communication and collaboration (Git, Jira, Slack, etc.)

Familiarity with data preprocessing, ETL processes, and data pipeline management is beneficial but not a requirement.

Familiarity with the unique challenges and opportunities in the education technology sector, whether in K‑12, higher education, or corporate training environments, is beneficial but not a requirement.

Base Salary Range: $130,000—$160,000 CAD

Equal Opportunity Employer Statement D2L is committed to a fair and inclusive work environment. We are an equal opportunity employer that hires and attracts talent regardless of age, race, creed, color, religion, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, status as a protected veteran or any other legally protected grounds and will not discriminate on these bases. We draw on diversity of thought and experience to reflect the rich array of cultures representing our broad customer base and we seek talent with diversity of life experiences and perspectives from around the world. If you have special accessibility requirements that need to be considered during the recruitment process, please let us know by emailing us at and a member of our HR team will get back to you. Information received relating to accommodation needs of applicants will be addressed confidentially. D2L maintains a drug‑free workplace.

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