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AI Product Engineer (Full Stack) at Pavago. 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. Company Location: Pakistan.