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.

As a proudly Canadian company, we are committed to service excellence and helping Canadians achieve successful, long-term homeownership. 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 homeownership.

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!

About The Opportunity

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. 

In this role, you will:

• 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 DevOps and MLOps practices, including CI/CD, versioning, monitoring, and rollback. 
• Evaluate and monitor AI solutions for quality, reliability, performance, latency, cost, and business outcomes. 

Essential Qualifications

• 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 integration layers. 

Preferred Qualifications

• Experience with AI-assisted development or agentic coding tools in private or enterprise environments. 
• Experience with large language models such as Llama, Mistral, Qwen, DeepSeek, or equivalent open-weight models. 
• Experience with model inference platforms such as vLLM, Ollama, llama.cpp, Hugging Face Transformers, or equivalent technologies. 
• Experience with agent and workflow orchestration frameworks such as LangGraph, Semantic Kernel, AutoGen, or equivalent technologies. 
• Experience with model evaluation, benchmarking, prompt evaluation, groundedness and response-quality assessment, and regression testing for AI applications. 
• Familiarity with model quantization and efficient inference techniques, such as GPTQ, AWQ, GGUF-based deployments, or similar approaches. 
• Familiarity with model fine-tuning and adaptation techniques, including parameter-efficient approaches such as LoRA or PEFT. 

What We Offer You

Canada Guaranty is proudly recognized by the Great Place to Work® Institute as one of the Best Workplaces™ in Canada – 100-999 Employees (2025, 2026). We are also honoured to be recognized as among the Best Workplaces™ in Financial Services & Insurance (2024, 2025, 2026), Best Workplaces™ in Ontario (2024, 2025), Best Workplaces™ for Mental Wellness (2025, 2026), Best Workplaces™ for Inclusion (2025, 2026), Best Workplaces™ for Women (2025, 2026), and Best Workplaces™ with the Most Trusted Executive Teams (2025, 2026). Join us and see why!

We offer a comprehensive total rewards package, including competitive compensation, company-matched retirement programs, health and dental coverage, flexible work options, and a friendly, inclusive, and supportive culture.

The salary range for this position ranges from $115,000 to $135,000. Offers are determined by a variety of factors, including job-related knowledge, skills, and experience, along with internal equity.

Accommodation Notice

Canada Guaranty is committed to fostering an equitable, accessible environment where all employees feel valued and supported. We are committed to building a workforce that is representative of the communities we serve and work alongside. Candidates may request accommodation at any point during the interview process.

We may leverage AI tools to assist us through our recruitment process. This posting is for an existing vacancy.

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