Junior AI Engineer

Magna International is seeking a Junior AI Engineer in a hybrid setup in Troy, MI to design, develop, integrate, and support enterprise AI solutions. The role supports process improvement and employee productivity through generative AI, LLMs, machine learning, APIs, automation, and cloud services.

Key Responsibilities

• Assist with the design and development of AI-enabled applications and automation solutions.
• Develop applications integrating with LLMs, traditional machine learning models, and generative AI services.
• Build and maintain prompts, structured outputs, tool or function integrations, and AI workflows.
• Support implementation of Retrieval-Augmented Generation (RAG) solutions using enterprise data sources.
• Evaluate AI responses for accuracy, relevance, reliability, and user experience.
• Participate in prototyping and proof-of-concept work for new AI use cases.
• Develop and maintain applications and services using Python, .NET, and other supported 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 development practices, including Git, CI/CD, testing, and code reviews.
• Assist with troubleshooting, debugging, performance optimization, and production support.
• Follow organizational standards for Responsible AI, security, privacy, and data governance.
• Assist with logging, monitoring, evaluation, and feedback mechanisms for AI applications.
• Ensure sensitive and confidential organizational information is handled appropriately.
• Integrate applications to function with existing CAD, FEA, and PDM software.
• Translate business requirements into technical prototypes and solutions with guidance from senior team members.
• Stay current on developments in generative AI, machine learning, software engineering, and CAD/FEA automation.
• Share findings, demonstrations, documentation, and lessons learned across the 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, and object-oriented programming.
• Understanding of source control/Git and 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.
• Strong interest in emerging technologies and experimentation.
• Engineering mindset to build maintainable solutions beyond demonstrations.
• Ability to break complex business problems into manageable technical components.
• Responsible AI awareness, including attention to security, privacy, bias, accuracy, and human oversight.
• Collaboration skills to work with technical and business teams, including explaining technical concepts to both technical and nontechnical audiences.
• Adaptability in a rapidly evolving technology environment.

Technologies and Tools

• Artificial intelligence, generative AI, large language models (LLMs), machine learning
• APIs, automation, software applications, and cloud services
• Retrieval-Augmented Generation (RAG), vector databases and semantic/vector search
• Semantic Kernel or similar AI orchestration frameworks, Microsoft Copilot Studio
• Python and .NET
• REST APIs, Git, CI/CD, testing, and code reviews
• JSON, SQL, and SQL and NoSQL databases
• CAD, FEA, and PDM
• PyTorch and TensorFlow
• Docker and containerized applications
• Enterprise identity and security concepts
• Data analytics and visualization
• Data handling concepts across structured and unstructured data sources

Additional Context: Team and Role Details

Department: Information Technology. Job Level: Junior / Entry Level. Reports to: IT Operations Manager. Worker Type: Regular / Permanent. Group: Cosma International.

Cosma provides a comprehensive range of body, chassis and engineering solutions to global customers. Through robust product engineering, tooling capabilities, and diverse process expertise, the organization brings lightweight and innovative products to market.

Location and Work Mode

The role is Hybrid / On-site as applicable in the Michigan and Toronto, Canada area, with the job location listed as Troy, MI.

Preferred Qualifications

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

AI-Assisted Screening Disclosure

As part of a fair, consistent, and efficient recruitment process, Magna International may use artificial intelligence (AI) tools to assist with initial screening of applications submitted through Workday. These tools identify qualifications and experience aligned with role requirements, and AI is used solely to support recruiters. Final decisions are made by the hiring manager and hiring team, and no applicant data is shared externally through these AI tools. Information remains securely within systems and is handled in accordance with privacy and data protection policies.