Junior AI Engineer
Magna International Inc.2 days ago
Troy, MI, USAEntry Level
Responsibilities
- Assist with designing and developing AI-enabled applications and automation solutions.
- Develop applications integrating large language models, traditional machine-learning models, generative AI services, and enterprise applications.
- Build and maintain prompts, structured outputs, tool/function integrations, AI workflows, and retrieval-augmented generation solutions.
- Develop and maintain applications and services using Python, .NET, and other supported languages.
- Build and consume APIs, work with structured and unstructured data, and integrate applications with CAD, FEA, and PDM software.
- Use Git and software development practices including testing, code reviews, debugging, performance optimization, and production support.
- Assist with logging, monitoring, evaluation, feedback mechanisms, security, privacy, responsible AI, and data-governance requirements.
- Prototype new AI use cases and translate business requirements into technical solutions with guidance from senior team members.
- Share findings, demonstrations, documentation, and lessons learned with technical and business stakeholders.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Technology, or a related discipline, or equivalent practical experience.
- 0–2 years of professional software development, data, automation, or AI experience.
- Programming experience with Python and understanding of software development fundamentals, data structures, object-oriented programming, source control, testing, and debugging.
- Familiarity with JSON, REST APIs, SQL, and common data formats.
- Basic understanding of machine learning, generative AI, and large language models.
- Strong analytical, problem-solving, written communication, and verbal communication skills, with the ability to learn new technologies quickly.
- Preferred qualifications include web development, .NET development, CAD/FEA integration, AI agents, Microsoft Copilot Studio, prompt engineering, RAG, vector databases, semantic search, Semantic Kernel, PyTorch, TensorFlow, Docker, GitHub, SQL and NoSQL databases, enterprise identity and security, and data analytics or visualization.
Benefits
- Hybrid/on-site work as applicable in the Michigan and Toronto, Canada areas.
- Regular, permanent employment with development prospects, varied responsibilities, and support and resources for employee success.
- No relocation or sponsorship offered.
About Magna International Inc.
Magna International is a public Canadian automotive supplier that designs and manufactures vehicle systems, modules, and electronics for global automakers, and also builds complete vehicles through Magna Steyr. Founded in 1957 and headquartered in Aurora, Ontario, it operates worldwide as a Tier-1 supplier across body, seating, powertrain, ADAS, and electrification. Its common shares trade on the TSX (MG) and NYSE (MGA).