Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

We’re looking for a Senior Software Engineer to help design and build robust, scalable AI services. This role offers an opportunity to grow in AI engineering and work with a team dedicated to delivering enterprise-grade software solutions for production AI services.

Responsibilities

• Designing, building, and optimizing AI services that power the business’s AI and ML applications
• Following software best practices and standards for code quality, performance, and scalability across AI applications
• Collaborating with infrastructure engineers and machine learning researchers to support the integration, reliability, and performance of AI applications at scale
• Contributing to technical design discussions and system architecture for AI applications and projects, including API design, data models, and integration patterns
• Building scalable, resilient cloud and on-premise software systems for hosting AI services using state-of-the-art technologies

Requirements

• Experience designing and implementing distributed systems and software architectures for AI services
• Experience with software engineering practices, including code review, testing, design patterns, and software architecture
• Hands-on experience building and deploying scalable applications and services using modern frameworks and technologies
• Working knowledge of containerization technologies such as Docker and Kubernetes or OpenShift Container Platform (OCP4)
• Experience designing and implementing APIs, event-driven, microservices, and service-oriented architectures
• Proficiency in Python and Golang
• Experience with application performance optimization, caching strategies, and tuning distributed systems
• Experience building and deploying applications across hybrid environments on-prem and major cloud environments, such as AWS and Azure
• Experience designing data access layers and working with databases (both SQL and NoSQL such as MongoDB)
• Basic understanding of machine learning model serving, inference optimization, and ML system design patterns
• Exposure to deploying and managing agentic workflow systems and self-hosted ML models
• Familiarity with observability, monitoring, and logging practices to ensure visibility into system behaviour and performance

Skills

• Active Learning
• Agile Methodology
• Application Integrations
• Collaboration
• Decision Making
• Detail-Oriented
• Enterprise Application Delivery
• Group Problem Solving
• Programming Languages
• Software Development
• Software Development Life Cycle (SDLC)
• Software Solutions
• Technical Knowledge

Location

• RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO
• Toronto
• Canada

Work Type

• Full time

Experience Level

• Senior

Benefits

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable

About the Company

• RBC's AI Group is the AI accelerator for RBC, with a focus on driving the shift from early-stage AI projects to scaled, client outcomes that amplify the impact of RBC's people.
• In addition to helping scale the biggest AI opportunities at RBC, the AI Group is responsible for advancing research into emerging use cases across generative and agentic AI, while maintaining expertise in security, responsible AI and regulatory expectations.
• The Business Enablement function within the AI Group partners with LOBs and Functions to set AI ambition, originate transformation opportunities, and frame programs for delivery — ensuring RBC remains at the frontier of AI-enabled value creation.
• At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC.
• We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world.
• Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities.
• RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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.