Senior Software Developer 2, Artificial Intelligence

Das ist der Job

Don't meet every single requirement?

Darum lohnt es sich

Senior software developers use past experiences & know‑how to enable teams to be more productive & effective through the code they write, the decisions they make and knowledge they share.

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 already 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.

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

While some of our perks and benefits may vary depending on location or employment type, we are proud to provide employees with the following through #LifeAtD2L: Impactful work transforming the way the world learns Flexible work arrangements Learning and Growth opportunities Tuition reimbursement of up to $4,000 CAD for continuing education through our SkillsWave Program 2 Paid Days off for SkillsWave‑related activities like exams or final assignments Employee wellbeing (Access to mental health services, EFAP program, financial planning and more) Retirement planning 2 Paid Volunteer Days Competitive Benefits Package Home Internet Reimbursements Employee Referral Program Wellness Reimbursement Employee Recognition Social Events Dog Friendly Offices Spaces at our HQ in Kitchener, Winnipeg, Vancouver and Melbourne offices. #J-18808-Ljbffr We strongly encourage you to still apply!

At D2L, we are committed to creating a diverse and inclusive environment. We encourage your application even if you don't believe you meet every single qualification outlined, because we love to help our people grow and develop! How will I make an Impact?

We are looking for a seasoned Software Developer who is passionate about developing software using engineering best practices. Your ideas and perspectives are essential to making sure we are investing in the right technology and effectively advancing our goal.

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.

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.

Why we’re awesome: At D2L, we are dedicated to providing you with the tools to do the best work of your life.