AI Engineering Intern

Role Overview

As a Full Stack Developer Intern, you will work closely with our engineering and product teams to build user-facing features, backend services, and AI-integrated tools. This role is ideal for a passionate, self-motivated student who wants hands-on experience with end-to-end web development and exposure to modern tech stacks.

Key Responsibilities

• Develop responsive front-end interfaces using React, Next.js, or similar frameworks
  

• Design and implement backend services and RESTful APIs using Node.js, Express, or Python (Flask/FastAPI)
  

• Work with SQL/NoSQL databases (e.g., PostgreSQL, MongoDB)
  

• Collaborate with AI developers to integrate AI models and document processing APIs
  

• Participate in code reviews, agile ceremonies, and team stand-ups
  

• Assist in deploying features to cloud environments (AWS, GCP, or Azure)
  
  

What We Offer

• Hands-on experience working on live product initiatives
  

• Mentorship from experienced full stack and AI developers
  

• Flexible work hours and fully remote work setup within Canada
  

• Potential pathway to future full-time opportunities
  

• An inclusive, collaborative, and innovation-driven team culture
  
  

Application Process

Please use below link to attach your most recently updated resume along with Links to relevant projects, GitHub repositories, or Kaggle profiles (if available).

About Us:
Karbon Digital Limited is a Toronto-based leader in AI innovation, offering cutting-edge products and consulting services to industries such as healthcare, finance, retail, and logistics. Our mission is to help businesses unlock the full potential of AI, cloud, and data engineering technologies to solve real-world challenges and drive transformation. Join us and lead the delivery of transformative AI solutions.



Requirements






Qualifications

Required:

• Enrolled in a post-secondary Computer Science, Software Engineering, or related program
  

• Familiarity with both front-end and back-end technologies
  

• Experience with Git and collaborative development workflows
  

• Strong problem-solving and communication skills
  

• Ability to work independently in a remote team environment
  

Preferred (nice to have):

• Exposure to cloud computing (e.g., AWS Lambda, Firebase, Docker)
  

• Understanding of AI/ML concepts or previous experience with AI APIs
  

• Interest in document automation, OCR, or natural language processing