As of November 7, 2026, Jobsy lists 6 staff ai engineer jobs in Canada. The most active employers are Royal Bank of Canada, Grafana Labs and GuruLink. Skills often requested: machine learning, communication skills, ml and ci/cd.
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Candidates need extensive Staff-level software engineering experience and proven delivery of production LLM applications or AI agents used by real customers. They also need strong backend and platform skills in Python, Django, PostgreSQL, Redis and REST or GraphQL APIs, plus experience building AI evaluation frameworks.
7+ YOECandidates need 7+ years of software engineering experience, including 5+ years shipping AI or ML systems to production. Strong Node.js and TypeScript skills, hands-on LLM and RAG experience, and AWS and Docker deployment experience are required.
AWS, Docker, Node.js, TypeScript, PostgreSQL, MySQL
Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
Royal Bank of Canada needs candidates with experience in LLM agent frameworks, tool and API design, CI/CD with Docker and Kubernetes, AI-assisted testing, spec-driven development and governance controls. Strong communication and an understanding of technology or financial services are preferred.
Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
Royal Bank of Canada needs candidates with experience in LLM agent frameworks, tool and API design, CI/CD with Docker and Kubernetes, AI-assisted testing, spec-driven development and governance controls. Strong communication and an understanding of technology or financial services are preferred.
Grafana Labs: Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and…
8+ YOECandidates need 8+ years of software engineering experience, including 2+ years applying LLMs to production systems. Strong Python and JavaScript/Node.js skills, Google Cloud experience and experience with multi-agent systems are required.
8+ YOECandidates need 8+ years in software engineering and AI/ML, including 3+ years running AI systems in production. Strong Python skills and experience with LLMs, retrieval systems, RAG and agent architectures are required.