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Added 13 mins ago
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Magna International

Engineer, Full Stack AI & SW

Toronto, ON, Canada
Aurora, ON, Canada

Pay: Salary: $ 84,500-115,200 annually (TBC)
Job type: Full-time
Experience: 2 years or more experience in SW / AI related Industry
Posting language: English
Posted: Sep 23, 2026

Apply About employer

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Original job description

Job descriptions may display in multiple languages based on your language selection.

What we offer:

At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

Group Summary:

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. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.

Job Responsibilities:

About us

We see a future where everyone can live and move without limitations. 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.

Forward. For all.

Group Summary

About the Role

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, efficient, 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.

Your Responsibilities

Salary: $ 84,500-115,200 annually (TBC)
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
Contribute to team effort by providing innovative ideas for products and processes and by sharing new information with other team members
Provide engineering support to other departments within the company as directed by the department leader
Manage innovation projects by monitoring progress, coordinating activities, resolving technical issues with engineering teams, maintaining documentation systems, and preparing progress reports

Who we are looking for

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
Excellent spoken and written communication skills, with the ability to communicate effectively and professionally
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, …)

Your preferred qualifications

Additional Engineering Domain Knowledge beneficial

Please Note

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.

What we offer

In addition, we offer you the following site benefits:

Wellness programs and events
Access to private park for employees & their families

Awareness. Unity. Empowerment.

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. 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.

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. 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. Final decisions are always made by the hiring manager and the hiring team. 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.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.

Worker Type:

Regular / Permanent

Group:

Magna Corporate

Apply About employer

More about this job

Responsibilities

This role involves designing, developing, and maintaining full-stack agentic AI applications to improve engineering processes and efficiency. You will collaborate with R&D teams to identify bottlenecks and deliver intuitive, reliable AI-powered solutions.

Requirements

Candidates must hold a bachelor's degree or higher in Engineering, Computer Science, or Artificial Intelligence. At least 2 years of industry experience in software or AI development is required, along with proficiency in Python and frontend web technologies.

Skills

Python
Full-stack development
Agentic AI
CrewAI
LangGraph
Microsoft 365 Copilot
Model Context Protocol
Docker
Azure
Databricks
Git
Linux
Bash
Next.js
React
Knowledge graphs

Benefits

Wellness programs
Events
Private park access

Visa sponsorship

Not detected in the job text

Keywords

Full Stack
Artificial Intelligence
Agentic AI
Python
Software Engineering
CrewAI
LangGraph
Microsoft 365 Copilot
Model Context Protocol
Docker
Azure
Databricks
Git
Linux
Bash
Next.js
React
Knowledge Graphs
Object-Oriented Programming
R&D
Automotive Technology
UI/UX Design
Workflow Design
Cloud Deployment
Engineering
Data Integration
Prototyping
Validation
Innovation
Product Development

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