03 Oct
|
Magna International
|
Toronto
03 Oct
Magna International
Toronto
Job descriptions may display in multiple languages based on your language selection. At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. Magna is more than one of the world’s largest suppliers in the automotive space.
We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. That’s why we are developing technologies, systems and concepts that make vehicles safer and cleaner, while serving our communities, the planet and, above all, people. Magna is more than one of the world’s largest suppliers in the automotive space.
We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. This position will be responsible for the design, development, deployment, and maintenance of full-stack agentic AI applications. These apps can have different maturity levels from early concepts with mockups to minimum viable product (MVPs) and production ready applications.
To ensure proper user experience underlying problems and demands must be discussed with the internal customer and team to allow the clean design of the workflow that needs to be implemented. The primary focus is creating measurable value for end users through intuitive, effective, and reliable AI-powered solutions. Beyond core functionality such as agentic workflows, data integration, and engineering tool connectivity through MCP servers, delivering a high-quality user experience through intuitive UI/UX design is a key success factor.
Typical R&D; application development begins with analyzing engineering processes and identifying bottlenecks that reduce efficiency, quality, or scalability. The role will work together with other R&D; teams and internal customers. Immediate, open position Evaluation of technologies and product designs with compliance to scientific principles, engineering principles, company standards,
customer requirements and related specifications Support the development of innovative components and modules from the initial concept phase through the complete development process including design engineering, validation, prototyping, testing, and evaluation of the proposed production capable process and business case Manage innovation projects by monitoring progress, coordinating activities, resolving technical issues with engineering teams, maintaining documentation systems, and preparing progress reports Bachelor's or higher degree in Engineering including but not limited to: Computer Science, Artificial Intelligence ~2 years or more experience in SW / AI related Industry ~ Hands-on experience developing agentic AI applications using frameworks and platforms such as CrewAI, LangGraph, Microsoft 365 Copilot, and Model Context Protocol (MCP), including agent orchestration, tool integration, and workflow design. ~ Experience in cloud deployment (docker, azure, databricks, …) ~ Proficient in programming Python and object-oriented programming (OOP) principles. ~ Proficient with development tools including Git version control, Linux terminal, and Bash scripting. ~ Experience with different data structures, data bases – knowledge graphs ~ Experience in frontend web development (next.js, react, …) Accommodations for disabilities in relation to the job selection process are available upon request.
Candidates will be required to complete a Criminal Records Check, and if deemed necessary, a Credit Check as part of the candidate selection process. At Magna,
you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. In Addition, We Offer You The Following Site Benefits Access to private park for employees & their families We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity.
Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity.
Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law. AI-Assisted Screening Disclosure As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system.
These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Importantly, no applicant data is shared externally through these AI tools.
All information remains securely within our systems and is handled in accordance with our privacy and data protection policies. Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making. Regular / Permanent Magna Corporate #
📌 Engineer, Full Stack AI & SW (Toronto)
🏢 Magna International
📍 Toronto