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 Senior AI Engineer based in Canada.
This is a high-impact engineering role focused on building production-grade AI agent systems that power large-scale marketing and revenue operations. You will design and deploy multi-agent architectures, LLM-driven workflows, and backend infrastructure that automate complex business processes across global teams. The work sits at the intersection of AI engineering, distributed systems, and real-world business optimization. You will own the full lifecycle of AI systems—from architecture and development to deployment, monitoring, and continuous improvement. This role offers high autonomy, allowing you to define technical direction and choose the best tools and frameworks for scalable solutions. You will collaborate closely with cross-functional stakeholders to translate operational bottlenecks into intelligent automation. The environment is fast-paced, highly technical, and deeply rooted in open-source and cloud-native engineering culture.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Engineer based in Canada.
This is a high-impact engineering role focused on building production-grade AI agent systems that power large-scale marketing and revenue operations. You will design and deploy multi-agent architectures, LLM-driven workflows, and backend infrastructure that automate complex business processes across global teams. The work sits at the intersection of AI engineering, distributed systems, and real-world business optimization. You will own the full lifecycle of AI systems—from architecture and development to deployment, monitoring, and continuous improvement. This role offers high autonomy, allowing you to define technical direction and choose the best tools and frameworks for scalable solutions. You will collaborate closely with cross-functional stakeholders to translate operational bottlenecks into intelligent automation. The environment is fast-paced, highly technical, and deeply rooted in open-source and cloud-native engineering culture.