Staff Engineer: AI-Driven Backend & Enterprise Architecture

RBC; Toronto; On-site; CAD 150,000 - 210,000; Full time

Job summary

RBC is seeking a Staff Engineer to join the Enterprise Architecture team in Toronto. You will design, build, and scale backend services, APIs, and AI-enabled applications affecting thousands of users across the enterprise.

You will mentor engineers, shape technical direction, and collaborate with AI researchers, architects, and product teams to deliver production-grade solutions using LLMs, RAGs, and AI tooling in a regulated environment.

Qualifications

• Degree in Computer Science or Engineering or equivalent.
• 10+ years of software engineering experience with 2+ years in senior/lead roles.
• Deep expertise in distributed systems, reliability, observability, and performance.
• Strong system design skills and ability to steer complex initiatives.
• Proven mentoring and high coding standards.
• Proficiency in Python and at least one other language (NodeJS/Java/C++).
• Experience with AI/ML tech including LLMs, RAGs, and chatbots.

Responsibilities

• Design, build, and maintain scalable backend services using Python, FastAPI, and MongoDB, with AI orchestration.
• Develop and deploy AI-powered apps including RAGs and chatbots using LangChain or similar.
• Collaborate with researchers, architects, DevOps, and product teams to translate AI into real solutions.
• Lead architecture and delivery of resilient, scalable systems powering production applications.
• Set technical direction and own outcomes end-to-end, from inception to deployment.
• Mentor engineers, raise engineering bar, and promote best practices across teams.

Skills

Python

API design

Distributed systems

LLMs

Staff leadership

AI/ML

Cloud knowledge

Code quality

Mentoring

Education

Bachelor's degree in Computer Science or Engineering

Tools

FastAPI

MongoDB

Docker

Kubernetes

LangChain

OpenAI API

Job description

RBC is seeking a Staff Engineer to join the Enterprise Architecture team in Toronto. You will design, build, and scale backend services, APIs, and AI-enabled applications affecting thousands of users across the enterprise.

You will mentor engineers, shape technical direction, and collaborate with AI researchers, architects, and product teams to deliver production-grade solutions using LLMs, RAGs, and AI tooling in a regulated environment.