January 11, 2026
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AI Developer Intern – AI Engineering Team – Summer 2026 (4 Months)

Intact,

Toronto, ON
$67k/yr - $83k/yr

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Duration

  • 4 Months

The Position

Are you passionate about shaping the future with AI? Is your sweet spot blending machine learning, software craftsmanship, and real-world problem solving? Are you an advocate for readable code, solid engineering practices, and user-centered solutions? We’ve got the perfect opportunity for you. We are seeking AI Developer interns to join our fast-moving team and build reliable, scalable AI-powered applications. 

Responsibilities

  • Build and test backend features for AI projects: write clean code, create small prototypes, and validate your work with unit tests. 

  • Turn complex data into insights: help analyze datasets and translate findings into clear recommendations for the team. 

  • Collaborate in an agile squad: participate in standups, brainstorm technical solutions, and use modern web/app technologies to deliver value. 

  • Ship with confidence: document how things work, support deployments, share updates/estimates, and help teammates with production handoffs. 

  • Object Oriented Programming - Python, Java, Knowledge of development design patterns, Knowledge and interest in Artificial Intelligence   

  • Nice to have: Interest in Java/Kotlin, Docker/Kubernetes, Hazelcast/Redis, Spring Boot/Spring Cloud and MongoDB/Oracle technologies     

Requirements

  • Currently pursuing a Bachelor's or Master’s degree in a field related to software development, computer science, or anything relevant; 

  • Available to work with us full-time, 35 hours per week, for the Summer 2026 Term (May to August) 

  • Must be an active student during your internship and/or returning to school in next Fall 2026 following your internship 

  • Past relevant internship/co-op experience(s) considered an asset 

  • Understand the software development lifecycle and be curious about continuous delivery pipelines and testing. 

  • Understand the basics of an agile way of work  

  • Strong analytical abilities and problem-solving skills. 

  • Adaptability, curiosity, and commitment to continuous learning. 

  • Excellent communication skills with a passion for technology. 

  • Self-reliant with a strong sense of responsibility.