Full Stack Developer, AI
AI in this role
Job Description
What is the opportunity?
Are you a talented, creative, and results-driven professional who thrives on delivering high-performing applications? Come join us!
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.
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.
What will you do?
- 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.
What do you need to succeed?
Must-have
- 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-have
- 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.
What’s in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
- 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
#LI-POST
Job Skills
Application Development, Application Integrations, Application Maintenance, Applications Architecture, Detail-Oriented, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC), System ApplicationsAdditional Job Details
Address:
20 KING ST W:TORONTOCity:
TorontoCountry:
CanadaWork hours/week:
37.5Employment Type:
Full timePlatform:
TECHNOLOGY AND OPERATIONSJob Type:
RegularPay Type:
SalariedPosted Date:
2026-07-20Application Deadline:
2026-11-30Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
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.
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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.
How we score this
Full Stack Developer, AI at RBC scores 24 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What are the limits of LangChain that you've run into, and how did you work around them?
- What's a project where you used LangGraph hands-on?
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- List these exact terms on your resume: Rag, AI Agents, LangChain, and LangGraph. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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