Full-Time
Associate AI Engineer
ShyftLabs
11-50 employees
Data-driven decision-making platform for organizations
Compensation Overview
CA$60k - CA$80k/yr
Toronto, ON, Canada
Hybrid
Three days on-site per week in Toronto.
Bachelor's
 Software Engineering (2) |
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- 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
- 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
- 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
ShyftLabs helps organizations adopt a data-first approach to decision making by designing and implementing processes that turn data into actionable insights. Its solution builds structured analytics workflows and governance, so teams access trustworthy data, follow defined steps, and act on results with clarity. Unlike tools that only show dashboards, ShyftLabs focuses on repeatable data practices and governance that speed up decisions and reduce ad hoc analysis. The goal is to help organizations stay ahead of the competition by enabling faster, more informed decisions across the business.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
Canada
Founded
2018
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Simplify's Take
What believers are saying
- April 2026 Billy Bishop launch shows current product momentum and live customer adoption.
- ShyftLabs posted dozens of open roles in 2026, indicating active growth and delivery demand.
- The company claims $500 million client value and 90+ NPS, supporting sales conversations.
What critics are saying
- Consulting revenue concentration exposes ShyftLabs when enterprise clients cut transformation budgets in 2026.
- Carter's April 2026 airport deployment depends on one network; churn would hurt credibility fast.
- No public funding, profitability, or long-term contracts disclosed; scaling may stall without capital.
What makes ShyftLabs unique
- ShyftLabs pairs data consulting with Carter, its proprietary DOOH adtech platform, in 2026.
- It claims 200+ experts across Toronto, New York, Dubai, and Noida.
- It won Toronto Port Authority's April 2026 Billy Bishop DOOH rollout, signaling enterprise trust.
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Benefits
Health Insurance
Hybrid Work Options
Professional Development Budget