AI Product Engineer (Full Stack)

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.