AI Engineer: Enterprise ML & LLM Apps

Socket.dev; Mississauga; Hybrid; CAD 115,000 - 135,000; Full time

Job summary

Canada Guaranty in Mississauga, Ontario is seeking an AI Engineer to design and build AI solutions that deliver measurable business value. The role blends software engineering, machine learning, generative AI, data engineering, and MLOps to develop scalable, secure AI applications.

You will work across the lifecycle from experimentation and model selection through deployment, monitoring, and ongoing optimization, applying production-grade APIs and services with Python and modern engineering

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, Engineering, or 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.

Responsibilities

• 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.

Skills

API development

CI/CD practices

AI engineering

Troubleshooting

Education

Bachelor's degree in Computer Science or related field

Tools

Python

Job description

Canada Guaranty in Mississauga, Ontario is seeking an AI Engineer to design and build AI solutions that deliver measurable business value. The role blends software engineering, machine learning, generative AI, data engineering, and MLOps to develop scalable, secure AI applications.

You will work across the lifecycle from experimentation and model selection through deployment, monitoring, and ongoing optimization, applying production-grade APIs and services with Python and modern engineering