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AI Application Engineer

Stellantis
Posted a month ago, valid for 13 days
Location

Auburn Hills, MI, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • The AI Application Engineer will design and build user interfaces for AI-enabled supply chain applications using React and TypeScript.
  • Candidates must have a bachelor's degree in a relevant field and at least 8 years of experience in product design or front-end engineering.
  • The role requires strong UX design judgment to create intuitive workflows from ambiguous requirements, alongside solid React and JavaScript skills.
  • Responsibilities include developing dashboards, integrating applications with APIs, and ensuring applications meet enterprise standards for security and performance.
  • The salary for this position is competitive and commensurate with experience.

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.

Ā 

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
Qualifications

Basic Qualifications:Ā 

  • 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:Ā 

  • 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



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