Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff AI Engineer based in Canada.
This role sits at the intersection of software engineering and applied AI, with a strong focus on redefining how modern development teams build and ship software using agentic systems. You will lead the design of AI-first engineering workflows, ensuring that AI agents are not only productive but also safe, reliable, and aligned with architectural standards. Acting as a technical leader, you will shape how development teams transition from traditional practices to AI-driven engineering models. The role combines hands-on system design, evaluation of AI-generated outputs, and strategic oversight of quality engineering practices. You will play a critical role in defining guardrails, governance, and observability for AI-assisted development at scale. This is a high-impact position where your decisions will directly influence engineering velocity, product quality, and organizational adoption of AI.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff AI Engineer based in Canada.
This role sits at the intersection of software engineering and applied AI, with a strong focus on redefining how modern development teams build and ship software using agentic systems. You will lead the design of AI-first engineering workflows, ensuring that AI agents are not only productive but also safe, reliable, and aligned with architectural standards. Acting as a technical leader, you will shape how development teams transition from traditional practices to AI-driven engineering models. The role combines hands-on system design, evaluation of AI-generated outputs, and strategic oversight of quality engineering practices. You will play a critical role in defining guardrails, governance, and observability for AI-assisted development at scale. This is a high-impact position where your decisions will directly influence engineering velocity, product quality, and organizational adoption of AI.