Associate AI Engineer

What You'll Do

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• 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

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• 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

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• 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)