Principal AI Engineer

Principal AI Engineer

180,000–200,000 CAD + bonus + RSUs

3 days hybrid - Toronto, Ontario

About the Organization

Join a global company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization's innovation hub, focused on applying AI, ML, and data science to create forward-looking tools.

The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.

About the Role

This is a tech-lead position, focusing on model deployment—ideal for someone with a strong foundation in software engineering and a passion for making machine learning work in the real world. You'll lead projects for a team of AI engineers on experiments, iterate on PoCs, and help define how ML models are deployed, scaled, and maintained in production environments.

What You’ll Bring

7+ years of software engineering experience in production environments

2+ years of technical leadership experience working with AI / ML systems (Python)

Experience with ModelOps / MLOps / AIOps workflows

Background in:

NLP: Named Entity Recognition / NER, information extraction, and information retrieval

Numpy, Pandas, and scalable data handling

Cloud environments (provider-agnostic)

CI/CD pipelines, GitFlow, and Agile development

Logging, alerting, testing, and autoscaling systems

Strong collaboration and communication skills, including experience working with non-technical stakeholders

Independent problem-solver with a proactive mindset

Preferred Experience

Technical leadership on AI / ML products

Experience delivering LLM-based solutions

Engineering management experience, including mentoring or leading cross-functional teams

Familiarity with all stages of the AI product lifecycle

Startup or fast-paced innovation environment experience

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning GenAI Gen AI Generative AI LLMs Large Language Models Artificial Intelligence MLOps AIOps Platform Infrastructure Scalability Production Machine Learning Operations AI Artificial Intelligence Containerization PyTorch Python Deployment Deploying MLFlow Kubernetes Kubeflow ModelOps NLP Natural Language Processing GitFlow NER Information Extraction Information Retrieval