Summer 2026

AI & Mobile Application Developer Intern iOS/Android

May 2026, 4 to 8 Months

Posted on 1/30/2026

Dordt University

Dordt University

Compensation Overview

CA$31.33 - CA$48.34/hr

Toronto, ON, Canada

Hybrid

Hybrid role; expect ~1 day on-site weekly in Toronto.

US Citizenship, US Top Secret Clearance, Canada Citizenship, Canada Top Secret Clearance, UK Citizenship, UK Top Secret Clearance Required

Category
Software Engineering (1)
Required Skills
LLM
Kotlin
Kubernetes
JavaScript
Machine Learning
Java
Docker
TypeScript
iOS/Swift
Android Development
DevOps
React Native
Computer Vision
Requirements
  • Experience in native mobile development (iOS Swift/SwiftUI, Android Kotlin/Java/Jetpack Compose, or React Native).
  • Curiosity about AI/ML concepts and how to apply them using modern frameworks or APIs.
  • Familiarity with a programming language such as Typescript, Java, Swift or Kotlin.
  • Willingness to learn independently and communicate ideas clearly in a team setting.
  • High School Diploma/GED is required.
  • Ability to work in Canada without sponsorship is required.
  • This role involves working with technology that is covered by Export Regulations sanctions; if you are a Foreign National from countries Cuba, Iran, North Korea, Syria, or the Crimea, Luhansk, Donetsk, Kherson, and Zaporizhia regions of Ukraine on a work permit, you are not eligible.
Responsibilities
  • Build and enhance mobile applications across platforms (iOS with Swift/SwiftUI, Android using Kotlin/Java and cross-platform with React Native).
  • Apply AI capabilities (e.g., large language models, computer vision, generative AI, or automation APIs) to real-world use cases.
  • Work with cloud-native technologies such as Kubernetes, Docker, and CI/CD pipelines for mobile + AI apps.
  • Participate in client-facing or internal innovation projects, creating prototypes, demos, and production-ready features.
Desired Qualifications
  • Course work, projects, hackathons or previous co-op terms involving mobile development or AI applications.
  • Exposure to AI frameworks or APIs (e.g., TensorFlow, PyTorch, scikit-learn, OpenAI/Watson APIs).
  • Familiarity with Python for scripting or experimenting with AI models and data workflows.
  • Familiarity with cloud platforms (AWS, Azure, IBM Cloud, or GCP) and cloud-native tools (Kubernetes, Docker).
  • Experience experimenting with AI features in mobile apps, such as chatbots, recommendation engines, or image recognition.
  • Exposure to modern frontend frameworks such as ReactJS or Angular.
  • Interest in prototyping and building demos that showcase new technology.

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Company Stage

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Total Funding

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Headquarters

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Founded

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