Agentic AI Tester Co-op

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In this role, the Agentic AI Tester Co-op will contribute to advancing engineering efficiency by supporting the development and validation of Agentic AI-based solutions. The student will work closely with the AI & SW Technologies team to enhance the robustness, reliability, and scalability of internal MVP applications. Responsibilities include investigating existing prototypes, creating high‑quality test data, developing test cases, automating test processes, and generating clear reporting to support decision-making. The Co-op will gain hands‑on experience in AI‑driven software development within a fast‑paced R&D environment and will play an important role in strengthening the team’s testing capabilities.

• Investigate existing MVP solutions and identify opportunities to improve test coverage and reliability.

• Create structured and high‑quality test datasets for AI/GenAI components.

• Develop functional, regression, and scenario‑based test cases.

• Automate test execution pipelines to increase testing efficiency.

• Execute tests, analyze outcomes, and document findings.

• Generate clear test reports that support engineering decision-making.

• Strong foundational skills in Python programming.

• Interest in and basic understanding of AI, Machine Learning, or GenAI concepts.

• Engineering background or ongoing studies in a related field.

• Analytical mindset with strong attention to detail when evaluating software behavior.

• Ability to work both independently and collaboratively within an R&D environment.

• Curiosity and motivation to explore cutting‑edge AI testing methodologies.

• Experience with test automation frameworks or scripting.

• Familiarity with software development workflows (Git, CI/CD, etc.).

• Basic understanding of LLMs or agentic AI applications.

• Prior exposure to data preparation, evaluation metrics, or model validation.

• Standard office environment and Robotics/Cobot Lab.

• The hourly rate for this position ranges from $24.50 - $28.50.

• Accommodations for disabilities in relation to the job selection process are available upon request.

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.