Full-Stack Engineer (AI & Data)

Role

Full-Stack Engineer (AI & Data) responsible for building production-ready front-end and back-end systems, data pipelines, third-party integrations, and AI automation to support used-car sales, rentals/leasing, recon, pricing/valuation, order management, and customer lifecycle flows.

Key Responsibilities

• Design and implement admin/workbench modules and scalable front-end features (dashboards, vehicle detail views, filtering, UI interactions/animations) with React.
• Define data models and API contracts; connect and normalize domains (orders, vehicles, customers, contracts, finance) to enable reliable workflows.
• Integrate third-party systems such as DealerCenter DMS and valuation/vehicle data sources (e.g., Manheim MMR/Valuations API); build VIN-level valuation capabilities using historical and forecast data.
• Build AI-driven customer/sales conversation flows to collect vehicle info, generate quotes/descriptions, call backend APIs, and persist structured outputs.
• Develop automation services using Python/Flask and OpenAI API for tasks like email parsing, message auto-replies, lead structuring, and content generation.
• Produce analytics and reports (GMV, orders, rental days) to support go-to-market and investor materials.

Requirements

• Strong front-end skills with React and HTML/CSS (responsive layout, Flex/Grid, UI interactions/animations) and ability to convert designs to maintainable components.
• Solid understanding of RESTful API design and consumption (auth, pagination, error handling, retries, rate limiting) and experience integrating external APIs.
• Hands-on experience with OpenAI/ChatGPT API, including prompting, structured outputs, function-calling concepts, and latency/cost considerations.
• Proficiency in Python for data processing, cleaning, and analysis; experience producing traceable business metrics and reporting outputs.
• BI and visualization skills with Power BI or Tableau (data modeling, dashboards, visual storytelling).
• Familiarity with Git, modular development, debugging, logging, and owning features from requirements to production delivery.
• Knowledge of security and production readiness fundamentals (API security, secrets management, input validation, XSS/CSRF/SQL injection awareness, monitoring/alerts, rollback strategies).
• Language: Chinese and English.

Preferred Qualifications

• Experience with LangChain or similar agent/frameworks (chains, retrieval/RAG, tool orchestration, memory).
• Working knowledge of SQL/PostgreSQL (schema design, indexing, constraints, ETL/sync concepts).
• Familiarity with Vercel, Render, AWS and basic CI/CD, environment configuration, and production troubleshooting.
• Experience building workflow automation (webhooks, parsing, data sync, lightweight scripts) and a basic testing mindset for API/UI stability.

Working Style

• High-iteration delivery (“Vibe Coding”): rapid prototyping → validation → production hardening.
• Self-driven learning with strong interest in AI and software engineering.
• Cross-functional collaboration with clear documentation, diagrams, and scoped plans.

Location & Compensation

• Work location: In person.
• Salary: $65,000 — $80,000 per year.