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)