AI Application Engineer
Stellantis · Auburn Hills, Michigan, United States ·
- Category
- Industrial engineering
accessibilityagentic-aiaiapigithubgithub-copilotinteraction-designobservabilityreacttypescriptwireframing
We're building an AI-enabled supply chain that senses, predicts, prescribes, and acts. As the AI Application Engineer, you'll design and build production-grade user interfaces and application experiences that make AI insights, recommendations, workflows, and agent actions usable by supply chain teams.
This role combines strong UX/product design judgment with React front-end development — using AI-assisted tools like GitHub Copilot to translate designs and business requirements into secure, reliable, and intuitive applications quickly.
Responsibilities include but not limited to:
- Design and build production-grade user interfaces for AI-enabled supply chain applications using React, TypeScript, and AI-assisted development tools (GitHub Copilot)
- Own the full path from UX concept to shipped interface — wireframing, interaction design, and implementation
- Develop dashboards, workflow screens, exception management views, approval interfaces, and human-in-the-loop experiences that are genuinely intuitive for non-technical business users
- Integrate front-end applications with APIs, agents, models, data services, and enterprise systems
- Translate ambiguous business requirements and AI outputs into clear, well-designed application experiences — making judgment calls on UX where requirements are incomplete
- Build application features that support recommendations, alerts, explanations, user feedback, approvals, and auditability
- Ensure applications meet enterprise standards for security, accessibility, performance, reliability, and observability
- Partner with AI engineers, agentic AI developers, product owners, data teams, and business stakeholders to deliver usable AI-enabled solutions