Staff Engineer — Agentic AI

RBC•Toronto, ON

1d•Onsite

About The Position

We’re looking for a Staff Engineer with strong hands-on experience in agentic AI systems who will contribute to accelerating agentic AI adoption across RBC. This role offers the opportunity to build production-grade solutions, work collaboratively with Lines of Business teams, and develop deep expertise in the Borealis agentic AI platform. At RBC Borealis, you’ll be joining a team that bridges Lines of Business with our cutting-edge Borealis agentic AI platform. You’ll work directly with business stakeholders, platform engineers, and technical teams to implement high-impact solutions while building your capability in emerging agentic technologies with guidance from our Principal Engineers.

Requirements

5-8 years of software engineering experience with demonstrated expertise in building production systems
1-3 years hands-on experience with agentic AI systems, LLMs, and/or modern AI/ML frameworks
Working knowledge of agentic AI patterns and design approaches (e.g., React, Tool Use, agent orchestration)
Proficiency in Large Language Models (LLMs), prompt engineering, and prompting techniques
Experience building Retrieval Augmented Generation (RAG) systems, working with vector databases and embeddings
Strong Python programming skills with ability to write clean, maintainable production code
Familiarity with Model Context Protocol (MCP) or similar integration frameworks
Experience with cloud platforms (AWS, Azure, or GCP) and modern DevOps practices
Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines
Understanding of security best practices, data governance, and compliance requirements
Strong collaboration skills with ability to work effectively across technical and business teams
Excellent communication skills for explaining technical concepts and sharing knowledge
Ability to learn quickly in the rapidly evolving AI/ML landscape
Comfort working in Agile environments with iterative delivery approaches

Responsibilities

Building and implementing agentic AI solutions under guidance from Principal Engineers, including writing production code for MCP servers, RAG pipelines, and agent orchestration
Supporting Line of Business (LoB) teams with hands-on technical implementation, troubleshooting, and solution development
Contributing to knowledge transfer and enablement activities by sharing technical knowledge and best practices with LoB engineering teams
Collaborating with Principal Engineers on solution architecture and design decisions
Participating in code reviews, technical documentation, and establishing best practices
Supporting production deployments and post-deployment optimization activities
Learning and applying Borealis platform capabilities to solve business challenges
Contributing reusable components to shared platforms and repositories