Junior AI Engineer

Magna International is seeking a Junior AI Engineer to help design, build, integrate, and support enterprise AI solutions focused on process improvement and employee productivity (hybrid).

Responsibilities

• Assist with designing and developing 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 or function integrations, and AI workflows
• Support implementation of Retrieval-Augmented Generation (RAG) using enterprise data sources
• Evaluate AI responses for accuracy, relevance, reliability, and overall user experience
• Participate in prototyping and proof-of-concept development 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 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

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Information Technology, or related discipline (or equivalent practical experience)
• 0–2 years of professional experience in software development, data, automation, or AI
• Programming experience with Python
• Understanding of software development fundamentals, including APIs
• Understanding of data structures
• Understanding of object-oriented programming
• Understanding of source control/Git
• Testing and debugging fundamentals
• 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
• Curiosity and interest in emerging technologies and experimentation
• An engineering mindset focused on building maintainable solutions beyond demos
• Ability to break complex business problems into manageable technical components
• Awareness of Responsible AI, including security, privacy, bias, accuracy, and human oversight
• Ability to collaborate across technical and business teams
• Ability to explain technical concepts clearly to technical and nontechnical audiences
• Adaptability in a rapidly evolving technology environment

Preferred Qualifications

• Experience or academic/project exposure to web development
• Experience or academic/project exposure to .NET / development
• Experience or academic/project exposure to CAD and FEA software integration
• Experience or academic/project exposure to AI agents and agentic workflows
• Experience or academic/project exposure to Microsoft Copilot Studio
• Experience or academic/project exposure to prompt engineering
• Experience or academic/project exposure to Retrieval-Augmented Generation (RAG)
• Experience or academic/project exposure to vector databases and semantic/vector search
• Experience or academic/project exposure to Semantic Kernel or similar AI orchestration frameworks
• Experience or academic/project exposure to machine learning frameworks such as PyTorch or TensorFlow
• Experience or academic/project exposure to Docker and containerized applications
• Experience or academic/project exposure to GitHub
• Experience or academic/project exposure to CI/CD pipelines
• Experience or academic/project exposure to SQL and NoSQL databases
• Experience or academic/project exposure to enterprise identity and security concepts
• Experience or academic/project exposure to data analytics and visualization

Technology Stack

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

Location and Reporting

• Troy, MI (hybrid)
• Hybrid / on-site as applicable in Michigan and Toronto, Canada area
• Department: Information Technology
• Job level: Junior / Entry Level
• Reports to: IT Operations Manager

AI-Assisted Screening Disclosure

• AI tools may be used to assist with initial screening of applications submitted through the Workday system
• AI is used solely to support recruiters
• Final decisions are made by the hiring manager and hiring team
• 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

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making. Contact the Talent Attraction team if you have questions or concerns.

• Worker type: Regular / Permanent
• Group: Cosma International