Junior AI Engineer

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What we offer:

Group Summary:

Department: Information Technology
Job Level: Junior / Entry Level
Reports To: IT Operations Manager
Location: Hybrid / On-site as applicable in Michigan and Toronto Canada area

No relocation or sponsorship offered

Position Summary

We are seeking a Junior AI Engineer to join our team and help design, develop, integrate, and support artificial intelligence solutions that improve business processes and employee productivity. The Junior AI Engineer will work alongside experienced engineers and IT teams to build process improvement applications using technologies such as: generative AI, large language models (LLMs), machine learning, APIs, automation, software applications and cloud services. This is an ideal opportunity for an early-career engineer who has a strong foundation in software development and wants to gain hands-on experience delivering secure, responsible, enterprise-scale process improvement software.

Key Responsibilities

• Assist with the design and development of AI-enabled applications, and automation solutions.
• Develop applications that integrate with LLMs, traditional machine learning models, and generative AI services.
• Build and maintain prompts, structured outputs, tool/function integrations, and AI workflows.
• Assist with implementing Retrieval-Augmented Generation (RAG) solutions using enterprise data sources.
• Evaluate model responses for accuracy, relevance, reliability, and overall user experience.
• Participate in prototyping and proof-of-concept development for new AI use cases.

Software Engineering & Integration

• Develop and maintain applications and services using Python, .NET, and other supported development languages.
• Build and consume REST APIs and integrate AI capabilities with existing enterprise applications.
• Work with structured and unstructured data from databases, documents, APIs, and business systems.
• Use source control and modern software development practices, including Git, CI/CD, testing, and code reviews.
• Assist with troubleshooting, debugging, performance optimization, and production support.

Quality, Security & Governance

• Follow organizational standards for Responsible AI, security, privacy, and data governance.
• Assist with implementing logging, monitoring, evaluation, and feedback mechanisms for applications.
• Ensure sensitive and confidential organizational information is handled appropriately.
• Integrate applications to function with existing CAD, FEA, and PDM software.

Collaboration & Continuous Learning

• Translate business requirements into technical prototypes and solutions with guidance from senior team members.
• Stay informed about developments in generative AI, machine learning, software engineering, and CAD/FEA automation.
• Share findings, demonstrations, documentation, and lessons learned with the broader technology organization.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Technology, related discipline, or equivalent practical experience.
• 0–2 years of professional software development, data, automation, or AI experience.
• Programming experience with Python.
• Understanding of software development fundamentals, including:
  • APIs
  • Data structures
  • Object-oriented programming
  • Source control/Git
  • Testing and debugging
• Basic understanding of machine learning, generative AI, and large language models.
• Familiarity with JSON, REST APIs, SQL, and common data formats.
• Strong analytical and problem-solving skills.
• Strong written and verbal communication skills.
• Ability and willingness to learn new technologies quickly.

Preferred Qualifications

Experience or academic/project exposure to one or more of the following is beneficial:

• Web development
• .NET / development
• CAD and FEA software integration
• AI agents and agentic workflows
• Microsoft Copilot Studio
• Prompt engineering
• Retrieval-Augmented Generation (RAG)
• Vector databases and semantic/vector search
• Semantic Kernel or similar AI orchestration frameworks
• Machine learning frameworks such as PyTorch or TensorFlow
• Docker and containerized applications
• GitHub
• CI/CD pipelines
• SQL and NoSQL databases
• Enterprise identity and security concepts
• Data analytics and visualization

Knowledge & Skills

The successful candidate should demonstrate:

• Curiosity: Strong interest in emerging technologies and experimentation.
• Engineering mindset: Ability to move beyond demonstrations and build maintainable solutions.
• Problem solving: Ability to break complex business problems into manageable technical components.
• Responsible AI awareness: Understanding that AI solutions require attention to security, privacy, bias, accuracy, and human oversight.
• Collaboration: Ability to work effectively across technical and business teams.
• Communication: Ability to explain technical concepts clearly to both technical and nontechnical audiences.
• Adaptability: Comfortable working in a rapidly evolving technology environment.

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.