Seeking an experienced Full Stack Software Engineer to join the Design, Cost & Complexity (DCC) team supporting data and AI products used across vehicle product development. This is a hands-on development role focused on building and delivering production-ready applications from front end through back end and data layers., * Build and ship full-stack features using React, Python, APIs, relational databases, and Google Cloud Platform (GCP).

• Own features end to end, including design, development, testing, deployment, and production support.
• Develop and integrate AI/LLM-based features using AI coding tools, guardrails, evaluation, and human oversight.
• Design data models, APIs, integrations, and connections to existing engineering and legacy systems.
• Turn prototypes into secure, reliable, and maintainable production applications.
• Write automated tests and participate in code reviews, CI/CD, security, and observability practices.
• Work directly with engineers, product managers, technical program managers, and business users.
• Identify technical debt, risks, and quality concerns and recommend solutions.
• Support and mentor teammates and vendor engineers.

Artificial Intelligence (AI), Artificial Intelligence (AI), Software Engineering, Product Development, User Interface/Experience (UI/UX), Application Programming Interface (API), Python Programming/Scripting Language, Relational Databases (RDBMS), GCP (Good Clinical Practices), Cloud Computing, * 5+ years of professional software engineering experience.

• Strong full-stack development experience.
• React.
• Python and/or Node.js.
• Relational databases such as PostgreSQL.
• Google Cloud Platform (GCP).
• AI/LLM development or hands-on use of AI coding tools.
• API design and data modeling.
• Automated testing, CI/CD, code review, and security best practices.
• Agile software development.
• Bachelor’s degree in Computer Science, Engineering, or a related field.

Preferred Experience:

• Agent frameworks, MCP, retrieval-augmented generation (RAG), or LLM evaluation.
• Automotive or manufacturing experience.
• Engineering tools involving design, simulation, testing, calibration, PLM, or manufacturing.
• Experience working with distributed or vendor teams.
• Master’s degree.

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