Vibe Coding Jobs in Canada

Build and deploy autonomous AI agent systems that integrate with enterprise applications to automate complex business processes. The role focuses on designing, prototyping, and operating agentic orchestration solutions, ensuring security, scalability, and continuous improvement.

Senior Engineer joining Xero's Internal AI Accelerator Squad to design, build, and operationalise agentic AI workflows. The role embeds with business teams to deliver AI agents from discovery to production, defining patterns, guardrails, and tooling for safe, scalable automation.

Founding Applied AI Lead to design and own LLM-driven agents and workflows that automate prior authorizations and appeals for medical devices and diagnostics; translate complex payer rules and clinical records into reliable, testable AI behavior and work closely with product, engineering, and customers to deploy solutions in a hybrid Toronto/NYC team.

Join Sobeys' MLOps Engineering team in Toronto to design, build, and maintain end-to-end MLOps and agentic LLMOps systems. You will develop Langgraph-based agents, scalable PySpark data pipelines in Databricks, and production ML deployment and monitoring solutions to deliver AI-driven retail features.

Summer internship in the Finance Innovation Studio to run hands-on AI experimentation for finance reporting and analysis. The Applied AI Experimentation Intern will design and execute AI-first sprints using copilots and analytics tools to surface scalable opportunities while working closely with finance leadership in a sandbox environment.

The Machine Learning Engineer will develop, validate, deploy, and maintain machine learning models and curated health datasets to support research projects in the Data Intelligence for Health (DIH) Lab. This fixed-term, part-time role (approx. 6 months) supports clinical research workflows and collaborates with researchers and stakeholders to produce reproducible, production-level ML artifacts.

Machine Learning Engineer to develop AI-powered brand identity and image-generation systems at a small Vancouver-based team, focusing on training LLMs and diffusion models, curating training data, and producing/validating graphic assets while supporting customers. The role is hybrid/onsite and requires hands-on PyTorch-level model work and vector graphic design skills.

Lead AI Engineer to architect, build, and operationalize enterprise-grade agentic LLM systems and observability within a regulated financial environment. The role combines SRE practices, full-stack development (Node.js/TypeScript and Python), and leadership to deliver secure, auditable AI automation and production RAG pipelines.