AI Engineer
CA$60,000 – CA$80,000 / yr base salary
Posted 13 May 2026
Advertised as “Associate AI Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
| Base salary | CA$60,000 – CA$80,000 / yr |
|---|
Field of studyArtificial Intelligence, Computer Science, Data Science, Software Engineering (or related)
Study levelBachelor's
About ShyftLabs
At ShyftLabs, we live and breathe data. Since 2020, we’ve been helping Fortune 500 companies unlock growth through innovative digital solutions that drive real business impact. With teams across Canada, the U.S., and India, we’re growing quickly and looking for curious, motivated individuals who are excited to learn, build, and solve meaningful problems with technology.
The Opportunity
ShyftLabs is looking for an Associate AI Engineer (New Grad) to join our growing engineering team. This is an exciting opportunity for a recent graduate or early-career engineer who wants to work at the intersection of AI/ML and backend software development.
In this role, you’ll help design and build AI-powered features that are integrated directly into real-world applications and data platforms. You’ll work closely with experienced engineers, product managers, and architects to develop scalable backend services, integrate AI tools and APIs, and contribute to production-ready systems used by enterprise clients.
This is a hands-on engineering role with strong mentorship and learning opportunities, ideal for someone who enjoys both software development and applied AI technologies.
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