Associate AI Engineer

What You'll Do •

Assist in building and integrating AI-powered features into backend applications and workflows

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Work with LLM APIs, machine learning models, and automation pipelines to support intelligent product experiences

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Develop and maintain backend APIs, microservices, and integrations using modern development frameworks

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Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions

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Support the development of scalable data pipelines and workflows for AI-enabled applications

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Participate in testing, debugging, monitoring, and improving production systems

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Contribute to technical documentation, API specifications, and architecture discussions

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Learn and apply best practices in software engineering, cloud development, and AI integration

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Participate in code reviews and collaborate with senior engineers to improve code quality and system reliability

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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

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Internship, co-op, academic project, or personal project experience in software engineering, AI/ML, or backend development

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Proficiency in Python and familiarity with libraries or frameworks such as TensorFlow, PyTorch, or Scikit-learn

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Understanding of backend development concepts such as APIs, microservices, and databases

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Familiarity with JavaScript/TypeScript or Node.js is considered an asset

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Exposure to REST APIs, SQL, and cloud platforms such as AWS or GCP through coursework, internships, or projects

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Interest in AI/ML technologies, including LLMs and intelligent automation tools

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Strong problem-solving skills and willingness to learn new technologies quickly

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Good communication and collaboration skills in a team environment

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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

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Familiarity with tools such as Docker, Git, Kafka, or cloud deployment workflows

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Exposure to data engineering, ETL pipelines, or analytics systems

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Interest in scalable distributed systems or event-driven architectures

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Contributions to open-source projects, technical clubs, or developer communities Salary Range • $60,000 - $80,000 (CAD)