Staff Software Engineer

RBC; Toronto; On-site; CAD 130,000 - 170,000; Full time

Benefits offered by this job

Bonuses

Flexible benefits

Stock options

Commissions

Job summary

RBC is seeking an experienced Staff Software Engineer to design and implement robust AI services powering enterprise AI and ML applications. You will lead architecture decisions and collaborate with infrastructure and ML researchers to ensure reliability and performance at scale.

The role requires deep expertise in distributed systems, containerization (Docker/Kubernetes/OpenShift), APIs, data models, and hybrid deployments across AWS or Azure. Proficiency in Python and Go is essential.

Qualifications

• Distributed AI services design and implementation experience.
• Code review, testing, and software architecture practices.
• Hands-on experience building scalable apps with modern frameworks.
• Experience with containerization using Docker and Kubernetes or OpenShift.
• API design, event-driven and microservices architectures.
• Proficiency in Python and Go (Golang).
• Experience with caching and performance tuning of distributed systems.
• Hybrid cloud and on-prem deployments (AWS, Azure).
• SQL and NoSQL databases in production.
• ML model serving and inference optimization.

Responsibilities

• Design, build, and optimize AI services powering AI/ML apps.
• Architect software practices for quality, performance, and scalability.
• Collaborate with infra engineers and ML researchers for reliability.
• Lead technical design decisions and system architecture for AI apps.
• Build scalable on-prem and cloud hosting for AI services.

Skills

Agentic AI

APM

CI/CD

Domain Driven Design

Event Driven Architecture

Kubernetes

Model Deployment

Model Evaluation

Non Relational Databases

Python

SQL Databases

Systems Architecture

Tools

Docker

OpenShift Container Platform

Job description

What's the opportunity?

We’re looking for an experienced Staff Software Engineer who will bring focus and subject‑matter expertise around designing and implementing robust, scalable AI services. This is a unique opportunity to grow in the world of AI engineering and work with a team of passionate individuals committed to delivering enterprise grade software solutions for our production AI services.

Job Description

Your responsibilities include:

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

You are an ideal candidate if you have:

• Strong and relevant experience designing and implementing distributed systems and software architectures for AI services
• Proven expertise in 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
• In‑depth 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
• Strong proficiency in Python and Golang
• Experience optimizing application performance, implementing caching strategies, and tuning distributed systems
• Hands‑on 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) in production environments
• Understanding of machine learning model serving, inference optimization, and ML system design patterns
• Experience designing and building infrastructure for deploying and managing agentic workflow systems and self‑hosted ML models
• Experience with observability, monitoring, and logging practices to ensure visibility into system behaviour and performance

What's in it for you?

• Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential
• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact from a local‑to‑global scale

About the AI Group

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.

Inclusion and Equal Opportunity Employment

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.

Job Skills

Agentic AI, Application Performance Management (APM), CI/CD, Domain Driven Design (DDD), Event Driven Architecture (EDA), Kubernetes, Model Deployment, Model Evaluation, Non Relational Databases, Python (Programming Language), SQL Databases, Systems Architecture

Address

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City

Toronto

Country

Canada

Work hours/week

37.5

Employment Type

Full time

Platform

Job Type

Regular

Pay Type

Salaried

Posted Date

2026-07-20

Application Deadline

2026-08-31

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