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About the Role

We're looking for a motivated Software Engineer to help design, build, and support enterprise AI services at RBC. This is an exciting opportunity to grow your software engineering skills, learn from experienced engineers, and contribute to production AI infrastructure that supports meaningful business and customer outcomes.

Responsibilities

• Contribute to the development, testing, and maintenance of AI services under the guidance of senior engineers.
• Build reliable APIs, backend services, and integration components that support AI and ML applications.
• Learn and apply software engineering best practices, coding standards, and secure development principles.
• Participate in code reviews, design discussions, and team ceremonies to improve technical understanding and delivery quality.
• Collaborate with infrastructure, platform, and ML teams to support reliable AI systems across cloud and on-premise environments.
• Write unit tests, integration tests, and documentation to support maintainable and high-quality software.
• Troubleshoot defects, support production issues, and learn observability practices such as logging, monitoring, and alerting.
• Grow practical experience with modern engineering tools, cloud platforms, containerization, and AI service development.

Requirements

• 0-2 years of software engineering experience, including internships, co-op placements, academic projects, or equivalent practical experience.
• Foundational understanding of software development principles, data structures, algorithms, and object-oriented or functional programming concepts.
• Hands-on experience with Python, Golang, Java, or similar programming languages.
• Familiarity with REST APIs, backend services, databases, and version control using Git.
• Interest in AI, machine learning, model serving, data platforms, or building software that enables AI-powered applications.
• Basic understanding of cloud platforms such as AWS or Azure, and container technologies such as Docker or Kubernetes.
• Willingness to learn secure coding practices, testing strategies, CI/CD pipelines, and production support processes.
• Strong problem-solving skills, curiosity, and ability to ask thoughtful questions.
• Good communication skills and a collaborative mindset when working with engineers, product teams, and cross-functional partners.
• Commitment to continuous learning and developing technical depth in enterprise software engineering.

Skills

• Active Learning
• CI/CD
• Containerization
• Engineering Practices
• Python (Programming Language)
• Software Development
• SQL Databases

Location

• Toronto, Canada

Work Type

• Full time

Experience Level

• 0-2 years

Benefits

• Bonuses
• Flexible benefits
• Competitive compensation
• Commissions
• Stock options

About the Company

• RBC Borealis is the driving force behind Royal Bank of Canada's AI and data innovation.
• As part of Canada's largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform.
• With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we're at the forefront of AI research and platform development.
• With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering to solve critical challenges in the financial industry.
• We are building intelligent and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.

Equal Opportunity

• RBC is an equal opportunity employer committed to diversity and inclusion.
• We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors.
• Disability-related accommodations during the application process are available upon request.