AI Engineer

Who We Are

Canada Guaranty is a privately held Canadian mortgage insurer, established in 2010 following the acquisition of AIG United Guaranty Mortgage Insurance Company Canada by the Ontario Teachers’ Pension Plan and National Mortgage Guaranty Holdings Inc.

Canada Guaranty is a privately held Canadian mortgage insurer, established in 2010 following the acquisition of AIG United Guaranty Mortgage Insurance Company Canada by the Ontario Teachers’ Pension Plan and National Mortgage Guaranty Holdings Inc. As a proudly Canadian company, we are committed to service excellence and helping Canadians achieve successful, long-term home ownership. Our mortgage solutions help protect lenders and investors from losses related to borrower default and foreclosure while ensuring Canadians are provided with greater access to affordable and sustainable home ownership.

Canada Guaranty’s performance-driven culture thrives on accountability, collaboration, and supportive teamwork. If you’re a dedicated team player with a strong track record of excellence, we can’t wait to hear from you!

The AI Engineer is responsible for designing and building AI solutions that deliver measurable business value to Canada Guaranty. The role combines software engineering, machine learning, generative AI, data engineering, and MLOps practices to develop scalable and secure AI applications. The successful candidate will have hands‑on experience developing AI‑powered applications and contributing to the lifecycle of AI solutions from experimentation and model selection through deployment, monitoring, and ongoing optimization.

While extensive years of AI‑specific experience are not required, the candidate must demonstrate practical exposure to production AI environments and a strong understanding of enterprise AI delivery practices.

• Design and develop AI-powered applications using large language models (LLMs), machine learning models, retrieval-augmented generation (RAG), and related AI technologies.
• Develop production-grade AI services, APIs, and integrations using Python and modern software engineering practices.
• Provide technical recommendations to business and technology stakeholders on AI capabilities, limitations, risks, and implementation approaches.
• Collaborate with engineering business teams to identify and deliver high-value AI use cases.
• Evaluate and integrate commercial, open-weight, and proprietary AI models based on business and technical requirements.
• Build and maintain AI workflows involving embeddings, retrieval, model orchestration, tool calling, and structured outputs where appropriate.
• Deploy and operate AI solutions using Dev Ops and MLOps practices, including CI/CD, versioning, monitoring, and rollback.
• Evaluate and monitor AI solutions for quality, reliability, performance, latency, cost, and business outcomes.

• Bachelor's degree in Computer Science, Software Engineering, Data Science, Engineering, or a related discipline, or equivalent practical experience.
• 3-7 years of software engineering, machine learning engineering, or AI engineering experience, or a related role.
• Strong software engineering experience with proficiency in Python or an equivalent programming language and experience developing APIs or backend services.
• Hands‑on experience developing applications using machine learning models, LLMs, or other AI technologies.
• Understanding of AI/ML development, evaluation, deployment, monitoring, and CI/CD practices.
• Ensure AI solutions address organizational data privacy, security, data residency, governance, and responsible AI requirements.
• Strong troubleshooting and problem‑solving skills across application, infrastructure, AI model, and…