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Software Developer Co-Op (Artificial Intelligence Innovation)

Logo of Copperleaf


14d ago

🚀 Off-cycle Internship


AI generated summary

  • You are a 3rd/4th year computing/engineering student with software development experience, object-oriented/web/DB knowledge, AI curiosity, self-motivated, team player.
  • You will develop AI web applications, analyze data with Jupyter notebooks, and collaborate on generative AI prototypes with Python libraries.

Off-cycle Internship

Software EngineeringVancouver


  • Are you passionate about exploring the possibilities of artificial intelligence, especially generative AI, and creating innovative solutions that meet real-world needs? If so, you might be the perfect candidate for our AI Innovation Team. As a Software Developer Co-op, you will join a dynamic and collaborative team that is responsible for discovering use cases for AI in our products and in our own software company, and building prototypes that demonstrate the value of AI. You will work on projects from research, proof of concept, and prototyping to software implementation and production deployment, using cutting-edge technologies and frameworks.


  • You have the following background, but we also recognize that talent comes in many forms:
  • You’re a 3rd or 4th year computing science or engineering student with previous software development experience
  • You have exposure to object-oriented languages, web technologies and UIs, and relational databases
  • You have a strong interest and curiosity in artificial intelligence, especially generative AI
  • You’re self-motivated, flexible, pragmatic, proactive and able to handle a variety of tasks
  • You’re a great team member and have interpersonal skills including teamwork, respect, courtesy, and discretion
  • You wondered if this job description was written with the help of AI. The answer is yes!

Education requirements

Currently Studying

Area of Responsibilities

Software Engineering


  • Developing web-based applications and APIs with Python, Azure, AWS, .NET, and REST
  • Using Jupyter notebooks for data analysis and experimentation
  • Leveraging langchain and llama-index python libraries to create prototypes with generative AI
  • Designing and testing generative AI systems
  • Working with datasets and knowledge bases
  • Collaborating with other teams and stakeholders to identify and validate AI use cases


Work type

Full time

Work mode