AI Product Engineer (Full Stack)

**Job Title:** AI Product Engineer (Full Stack) **Position Type:** Full-Time, Remote **Working Hours:** U.S. Business Hours ### **About the Role** We’re hiring an execution-focused AI Product Engineer (Full Stack) to build and scale a production-ready web application from the ground up. This is a hands-on role for someone who can take full ownership of both frontend and backend development while integrating AI capabilities into real-world product use cases. This is not a support or maintenance role — it requires building, shipping, and iterating on a live product with strong system design, performance, and reliability. ### **What You’ll Own** **Full Product Development (End-to-End)** * Build and launch a production-ready web application from concept to deployment. * Own both frontend and backend development across the full stack. * Continuously iterate and improve the product post-launch. **AI Integration & Workflows** * Design and implement AI-driven workflows within the product. * Integrate LLMs (e.g., Claude or similar) into real use cases. * Implement guardrails to manage AI limitations (hallucinations, edge cases). **Backend Systems & Infrastructure** * Build and manage backend systems using Supabase or similar tools. * Design scalable APIs and data structures. * Ensure efficient data handling and system performance. **Security & System Reliability** * Implement authentication, permissions, and data protection practices. * Ensure system security and integrity across the platform. * Optimize performance, scalability, and reliability. **Product Collaboration & Iteration** * Work closely with leadership to rapidly ship and improve features. * Translate product ideas into working technical solutions. * Continuously refine the system based on feedback and usage. **Debugging & Optimization** * Identify and fix system issues and bugs. * Improve system stability and user experience. * Maintain high-quality code and system performance. ### **Must-Have Experience & Skills** ### **Non-Negotiables** * Strong full stack development experience (frontend + backend). * Proven track record of building and shipping real, production-level products. * Hands-on experience integrating AI/LLMs into applications. * Strong understanding of system architecture and API design. * Experience with Supabase or similar backend platforms. * Strong understanding of AI limitations (hallucinations, failure handling). * Knowledge of security best practices (authentication, permissions, data protection). * Ability to work independently and take full ownership of product development. ### **Nice-to-Haves** * Experience building AI agents or automation workflows. * Familiarity with Claude or similar LLM tools in production. * Experience building SaaS or operational platforms. * Exposure to aviation, logistics, or membership systems. * Experience scaling products from MVP to production. ### **Key Metrics for Success** * Successful launch of production-ready application. * Stability and performance of the system. * Quality and effectiveness of AI integrations. * Speed of feature delivery and iteration. * Reduction in bugs and system issues over time. * Scalability and maintainability of the platform. ### **Interview Process** * Initial Screening Call * Technical & Systems Design Interview * Practical Task (Product Build / AI Integration Scenario) * Final Interview * Internal Review & Approval * Offer & Onboarding #LI-AG1