What You'll Do
Assist in building and integrating AI-powered features into backend applications and workflows
Work with LLM APIs, machine learning models, and automation pipelines to support intelligent product experiences
Develop and maintain backend APIs, microservices, and integrations using modern development frameworks
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
Support the development of scalable data pipelines and workflows for AI-enabled applications
Participate in testing, debugging, monitoring, and improving production systems
Contribute to technical documentation, API specifications, and architecture discussions
Learn and apply best practices in software engineering, cloud development, and AI integration
Participate in code reviews and collaborate with senior engineers to improve code quality and system reliability
Stay current with emerging AI/ML technologies, tools, and engineering practices
What You Bring
Bachelor’s degree in Computer Science, Software Engineering, Data Science, AI, or a related field
Internship, co-op, academic project, or personal project experience in software engineering, AI/ML, or backend development
Proficiency in Python and familiarity with libraries or frameworks such as TensorFlow, PyTorch, or Scikit-learn
Understanding of backend development concepts such as APIs, microservices, and databases
Familiarity with JavaScript/TypeScript or Node.js is considered an asset
Exposure to REST APIs, SQL, and cloud platforms such as AWS or GCP through coursework, internships, or projects
Interest in AI/ML technologies, including LLMs and intelligent automation tools
Strong problem-solving skills and willingness to learn new technologies quickly
Good communication and collaboration skills in a team environment
Understanding of software development fundamentals, including testing, version control, and Agile development practices
Nice to Have
Experience working on personal, academic, or hackathon projects involving AI or data platforms
Familiarity with tools such as Docker, Git, Kafka, or cloud deployment workflows
Exposure to data engineering, ETL pipelines, or analytics systems
Interest in scalable distributed systems or event-driven architectures
Contributions to open-source projects, technical clubs, or developer communities
Salary Range
$60,000 - $80,000 (CAD)