Senior Software Developer 2, Artificial Intelligence

Role

As a Senior Software Developer on D2L Labs you will lead the development and incubation of new AI-driven products and features, integrate state-of-the-art AI techniques into production systems, conduct ongoing AI research, and engage with strategic clients to shape AI direction and adoption.

Key Responsibilities

• Lead design and implementation of scalable, cloud-based software and AI integrations
• Build applications that deliver value using large language models (e.g., GPT, Claude, Llama) and AI agents
• Conduct AI research and incorporate findings into product solutions and development processes
• Collaborate with product management, design, and stakeholders to align technical work with product goals
• Mentor and coach junior developers; promote engineering best practices
• Establish and maintain CI/CD pipelines, DevOps practices, and secure deployment practices
• Apply and advocate for responsible AI and AI ethics in design and deployment

Requirements

• 8+ years of software development experience, with a strong track record delivering technically challenging projects
• 5+ years experience with cloud platforms and cloud best practices (e.g., AWS, Azure, Google Cloud) and DevOps
• Hands-on experience building applications with large language models and AI agents; experience with prompt engineering, fine-tuning, RAG, and chain-of-thought techniques
• Deep understanding of CS fundamentals: data structures, algorithms, databases, distributed systems, and machine learning
• Proficiency in object-oriented design and strong coding skills
• Experience with common full-stack languages and frontend frameworks (NodeJS, JavaScript/TypeScript, Python, React, Angular, Vue)
• Familiarity with CI/CD, security practices for cloud and AI systems, and agile development workflows (Git, Jira, Slack)
• Strong communication and collaboration skills; ability to explain complex AI concepts to non-technical stakeholders
• Commitment to AI ethics and responsible AI practices

Nice to Have

• Familiarity with data preprocessing, ETL, and data pipeline management
• Experience in education technology (K-12, higher ed, corporate training)
• Experience designing or implementing multi-agent or agent-based systems

Benefits

• Flexible work arrangements
• Learning and growth opportunities; tuition reimbursement up to 4,000 CAD and 2 paid Catch the Wave days
• Employee wellbeing supports (mental health services, EFAP, financial planning)
• Retirement planning and competitive benefits package
• 2 paid volunteer days, home internet reimbursements, wellness reimbursement
• Employee referral program, recognition, and social events
• Dog-friendly offices at HQ locations