Junior AI Engineer

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 Cosma provides a comprehensive range of body, chassis and engineering solutions to global customers. Through our robust product engineering, outstanding tooling capabilities and diverse process expertise, we continue to bring lightweight and innovative products to market. Job Responsibilities 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 a