AI Application Engineer

Stellantis Financial Services; Auburn Hills (MI); On-site; USD 130,000 - 210,000; Full time

Job summary

Stellantis Financial Services is seeking an AI Application Engineer to design and build production-grade interfaces for AI-enabled supply chain solutions. You will translate business requirements into intuitive front-ends using React, TypeScript, and AI-assisted tools to deliver usable insights and workflows for supply chain teams.

You will own the UX from concept through shipped interface, develop dashboards and approval interfaces, and ensure security, accessibility, and performance.

Qualifications

• Bachelor's degree or higher in CS/SE/IS/HCI/Design or related field.
• 8+ years of experience in product design or front-end engineering with ownership of UX decisions and implementation.
• Strong product/UX design judgment to design intuitive workflows from ambiguous requirements.
• Portfolio demonstrating design work and shipped applications.
• Solid React, TypeScript, and modern JavaScript skills with AI-assisted development tools.
• Experience integrating applications with APIs, back-end services, authentication, and enterprise data sources.
• Understanding of accessibility, responsive design, and application security fundamentals.
• Ability to translate complex workflows into clear, well-designed experiences.

Responsibilities

• Design and build production-grade user interfaces for AI-enabled supply chain apps using React, TypeScript, and AI-assisted tools.
• Own the full UX path from concept to shipped interface including wireframes and interaction design.
• Develop dashboards, workflow screens, exception views, approvals, and human-in-the-loop interfaces.
• Integrate front-end with APIs, agents, models, data services, and enterprise systems.
• Translate ambiguous requirements and AI outputs into clear application experiences with sound UX judgment.
• Build features supporting recommendations, alerts, explanations, user feedback, approvals, and auditability.
• Ensure enterprise standards for security, accessibility, performance, reliability, and observability.
• Collaborate with AI engineers, product owners, data teams, and stakeholders to deliver usable AI-enabled solutions.

Skills

React

TypeScript

UX design

AI-assisted development

Accessibility

JavaScript

Design systems

Education

Bachelor's degree in Computer Science, Software Engineering, Information Systems, Human-Computer Interaction, Design, or related field

Tools

GitHub Copilot

Cursor

APIs integration

v0

Job description

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

Basic Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Human-Computer Interaction, Design, or a related field
• 8+ years of experience in product design, front-end engineering, or a hybrid design-engineering role, with demonstrated ownership of both UX/design decisions and implementation
• Strong product/UX design judgment - able to design intuitive workflows and interfaces from ambiguous requirements, not just implement provided mockups
• A portfolio demonstrating both design work and shipped applications
• Solid React, TypeScript, and modern JavaScript skills, with experience using AI-assisted development tools (GitHub Copilot, Cursor, v0, or similar) to accelerate implementation
• Experience integrating applications with APIs, back-end services, authentication, and enterprise data sources
• Understanding of accessibility, responsive design, and application security fundamentals
• Ability to work directly with business stakeholders and translate complex workflows into clear, well-designed application experiences
• Demonstrated ability to operate independently and own application delivery end-to-end, using AI tooling to move quickly without sacrificing design quality

Preferred Qualifications:

• Experience with Figma, design systems, or component libraries
• Experience designing human-in-the-loop workflows, approval screens, exception management tools, dashboards, or operational control interfaces
• Familiarity with LLMs, generative AI, AI agents, model outputs, RAG, or AI recommendation workflows
• Experience with GitHub Actions, Power Apps, Streamlit, or similar rapid development tools
• Experience building and deploying applications in AWS and/or Azure environments
• Experience with enterprise identity, role-based access, and production support at scale
• Experience with supply chain, logistics, planning, procurement, manufacturing, transportation, or enterprise operations