Full Stack Developer, AI

RBC • Toronto, ON

19h • Onsite

About The Position

The HR Technology team is responsible for optimizing and modernizing the systems and tools that support HR functions. These functions include recruitment, learning, performance, operations and talent data management. In HR Tech, we aim to improve the overall employee experience, enhancing efficiency and effectiveness, using modern and emerging technologies.

Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration.

We believe that innovation should drive all that we do, in challenging assumptions and being big and bold with our ideas. We support our people in developing the technical, business and professional skills needed to be successful. You will work with partners from across the company, participate in networking events, and have access to a wide variety of supports including mentorship. You will work directly with leaders who believe in celebrating successes and sharing learnings with other teams to promote progress.

Requirements

• 5+ years of software development experience with languages such as Java, Python and JavaScript, with a strong foundation in SQL and a willingness to contribute across a diverse tech stack including Angular, Node.js, Kotlin, and Spring Boot.
• Proven experience delivering full-stack and data engineering solutions on cloud platforms (Azure, AWS, OpenShift, or similar), comfortable working across VMs and Linux-based environments, with solid skills in database design, automation, and integrating distributed systems.
• Working knowledge of CI/CD pipelines and DevOps practices (GitHub Actions, Jenkins), containerization (Docker, Kubernetes), and quality assurance through automated testing frameworks, with strong version control and code review practices using GitHub.
• Practical experience applying AI tools across the software development lifecycle, including areas such as code generation, testing, and documentation.
• Strong problem-solving ability with a track record of independently owning technical challenges from design through to production-ready delivery.
• Excellent communication and collaboration skills, with the ability to work effectively across technical and non-technical teams and translate complex concepts for diverse audiences.

Nice To Haves

• Experience with both row-based and columnar databases such as PostgreSQL and Snowflake, and an understanding of how to apply each for different data workloads.
• Familiarity with workflow automation and orchestration tools such as Ansible, Airflow, or Stone Branch; experience with application monitoring and observability platforms such as Dynatrace to support operational stability and diagnose production issues.
• Experience working within agile teams, contributing to ceremonies such as sprint planning, backlog refinement, and retrospectives, while fostering a collaborative culture of continuous improvement.
• Exposure to AI development patterns and tooling such as agentic workflows, Model Context Protocol (MCP), LLM orchestration frameworks (LangChain, LangGraph), and RAG-based architectures, with an interest in building AI-powered tools and services.

Responsibilities

• Develop and maintain full-stack solutions across a diverse tech stack (Java, Python, Node.js, Angular, Spring Boot), contributing to both front-end and back-end features while continuously learning and adapting to evolving technologies.
• Build and support data engineering pipelines integrating cloud platforms (Snowflake, OpenShift, AWS) with automation, databases, and workflow orchestration tools (Airflow, Ansible, Stone Branch) to deliver reliable, scalable data flows.
• Own CI/CD and DevOps practices by designing and maintaining pipelines using GitHub Actions and Helios, managing containerized deployments with Docker and Kubernetes/OpenShift, and upholding code quality through automated testing frameworks.
• Apply AI tools effectively across the SDLC, from design and development through testing and deployment, to support better decision-making and higher quality outcomes.
• Solve complex, cross-functional technical problems independently by identifying inefficiencies and taking innovative ideas from proof-of-concept all the way through to production-ready solutions.
• Participate in walkthroughs, design reviews, and technical discussions, contributing to specifications and producing clear technical design documentation.
• Collaborate with business partners, BAs, and technical teams through meetings and presentations, translating complex technical concepts for non-technical stakeholders to drive informed decisions.
• Stay current with best practices and provide recommendations that influence decisions beyond your immediate work area, maintaining strong relationships with internal and external stakeholders to deliver measurable business outcomes.

Benefits

• A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation
• Leaders who support your development through coaching and managing opportunities
• Work in a dynamic, collaborative, progressive, and high-performing team
• Opportunities to do challenging work

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed