AI Product Engineer (Full Stack)

Pavago · United States · Remote

Posted 6/10/2026 · last confirmed live 8/26/2026

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.

This role is published by Pavago on workable. SwiftFit is not the employer and does not accept applications.