AI Engineer

Groupe Compass Quebec ltée.; Toronto; On-site; CAD 80,000 - 110,000; Full time

Job summary

A leading food service company in Toronto is seeking an AI Engineer to develop and maintain advanced AI applications. The ideal candidate should have a strong STEM background and experience with LLMs and cloud engineering. This role involves collaborating with cross-functional teams to deliver scalable solutions in an innovative environment. Competitive compensation and a commitment to diversity are part of the offer.

Qualifications

• Strong experience with Large Language Models (LLMs), RAG, embeddings.
• 2+ years of experience developing AI/data products in a hands-on capacity.
• Excellent written and verbal communication skills.

Responsibilities

• Develop and maintain scalable AI applications from concept to deployment.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Conduct code reviews and mentor junior team members.

Skills

Large Language Models (LLMs)

Python

Problem-solving skills

Cloud engineering

Education

Bachelor's degree in a STEM field

Tools

NumPy

pandas

SQL

NoSQL

Git

Job description

We are CDAI—the data and artificial intelligence engine of Compass Group North America. We design and deliver custom, in-house solutions tailored to the unique complexities of food service and hospitality. Our work is grounded in strong data foundations, layered with AI to enhance forecasting, streamline operations, and enable better, faster decision-making across Compass Group. With deep integration into the business and a commitment to white-glove service, CDAI empowers associates, clients, and customers through innovative, future-forward technologies.

Overview

We are looking for a skilled and motivated AI Engineer to join our forward-thinking team. The ideal candidate is passionate about building cutting-edge AI solutions, has a strong technical foundation, and excels in collaborative environments. As an AI Engineer, you will play a key role in designing, developing, and maintaining advanced data products and AI-powered applications. You’ll work closely with cross-functional teams—including Data Scientists, Analytics Engineers, Front-End Developers, and ML Engineers—to deliver scalable and impactful solutions.

Responsibilities

• Develop and maintain scalable AI applications from concept to deployment;
• Collaborate with cross-functional teams to define, design, and ship new features;
• Architect and implement efficient and reusable AI systems;
• Write clean, well-documented, and maintainable code following best practices;
• Conduct code reviews, provide constructive feedback and mentor junior team members;
• Stay up-to-date with emerging AI technologies and industry trends to drive continuous improvement.

Qualifications

• Bachelor's degree in a STEM field (or equivalent experience);
• Strong experience with Large Language Models (LLMs), RAG, embeddings;
• 2+ years of experience developing AI / data products in a hands-on capacity;
• Proficiency in the modern data science stack (Python, NumPy, pandas);
• Strong cloud engineering skills and ample experience taking AI ideas to production;
• Experience with database systems (SQL and NoSQL) and data warehouses;
• Familiarity with RESTful APIs;
• Knowledge of version control systems (e.g., Git) and agile development methodologies;
• Excellent problem-solving skills, attention to detail, and ability to work independently or in a team environment;
• Excellent written and verbal communication skills with experience in relaying complex concepts to non-technical users.

Compass Group Canada is committed to nurturing a diverse workforce representative of the communities within which we operate. We encourage and are pleased to consider all qualified candidates, without regard to race, colour, citizenship, religion, sex, marital / family status, sexual orientation, gender identity, aboriginal status, age, disability or persons who may require an accommodation, to apply.

For accommodation requests during the hiring process, please contact [e-mail] for further information.