AI Product Engineer (Full Stack) – AI/LLM Applications Position Type: Full-Time, Remote Working Hours: U.S. Business Hours About the Role We’re hiring an AI Product Engineer (Full Stack) to build and scale a real-world AI-powered product from the ground up. This is a highly hands-on role for someone who can: • Build full-stack applications end-to-end • Integrate AI/LLMs into production systems • Ship quickly and iterate fast • Own architecture, performance, and reliability This is not a maintenance-only role. You’ll be building a live production platform that combines: • Modern web application development • AI-powered workflows • Scalable backend systems • Real-world operational functionality If you enjoy: • Building products • Shipping fast • Integrating AI into real use cases • Solving technical problems independently This role is a strong fit. What You’ll Own Full Stack Product Development • Build and launch a production-ready web application from scratch • Own both: • Frontend development • Backend architecture • Ship features rapidly and improve the platform continuously post-launch • Design scalable, maintainable system architecture AI & LLM Integration • Integrate AI models such as: • Claude • OpenAI • Gemini • Build AI-powered workflows and product experiences • Implement: • Prompt workflows • Guardrails • Hallucination handling • Failure recovery systems • Optimize AI outputs for reliability and usability Backend Systems & APIs • Build scalable APIs and backend services • Work extensively with: • Supabase • PostgreSQL • Authentication systems • Permissions • Real-time data flows • Design efficient database structures and backend logic Security, Reliability & Performance • Implement: • Authentication • Role-based permissions • Data protection best practices • Improve: • Scalability • Performance • Uptime • User experience • Debug production issues and optimize system stability Product Collaboration • Work directly with leadership and product stakeholders • Translate ideas into production-ready technical solutions • Iterate rapidly based on: • Product feedback • User behavior • Operational needs Requirements Non-Negotiables • Strong full-stack development experience • Proven experience shipping real production products • Hands-on experience integrating AI/LLMs into applications • Strong understanding of: • APIs • Backend systems • System architecture • Scalable product design • Experience with: • Supabase • Firebase • PostgreSQL • Similar backend platforms • Understanding of AI limitations, including: • Hallucinations • Edge cases • Prompt reliability • Strong debugging and problem-solving ability • Ability to work independently with high ownership Nice to Have • Experience building: • AI agents • Workflow automation systems • SaaS platforms • Familiarity with: • Claude • OpenAI APIs • Vector databases • RAG workflows • Startup or MVP-to-production experience • Exposure to: • Logistics • Aviation • Operational platforms • Membership systems Tech Stack Exposure Strong candidates may have experience with: • React / Next.js • TypeScript • Node.js • Supabase • PostgreSQL • REST APIs • AI APIs (Claude, OpenAI, Gemini) • Vercel • Docker • Cloud deployments What a Typical Day Looks Like • Build and ship new product features • Develop frontend interfaces and backend APIs • Integrate AI workflows into product experiences • Improve prompt handling and AI reliability • Debug production issues and optimize performance • Collaborate with leadership on product direction • Refactor systems for scalability and maintainability In short: you build AI-powered products that are fast, scalable, reliable, and production-ready. Success Looks Like • Successful launch of production-ready applications • Reliable AI workflows with minimal failures • Fast feature delivery and iteration cycles • Stable backend systems and APIs • Reduced bugs and improved performance over time • Scalable, maintainable architecture Why This Role Stands Out • High ownership and autonomy • Build real AI products, not internal experiments • Direct impact on product and technical direction • Work with modern AI tooling and infrastructure • Opportunity to scale products from MVP to production • Fully remote flexibility Interview Process • Initial Screening Call • Technical & Systems Design Interview • Practical Product Build / AI Scenario • Final Interview • Internal Review & Offer Apply Now If you: • Love building products from scratch • Enjoy shipping fast and solving hard problems • Have real AI and full-stack experience • Want ownership in a fast-moving environment This role is built for you.