Associate AI Engineer

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)