Pavago
Staffing and Recruiting
AIProductEngineer(FullStack)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Product Engineer (Full Stack) at Pavago. Skills: AI Product Engineering, Full Stack Development, AI/LLM Integration, Scalable Systems. Build full-stack applications. Integrate AI/LLMs into production”
What You'll Achieve.
Successful launch of applications; Reliable AI workflows; Fast feature delivery; Stable backend systems; Reduced bugs; Improved performance; Scalable architecture; Maintainable architecture
Industry & Context.
Problem-solving; Debugging; Troubleshooting
What They're Looking For.
Must Have
Full-stack development experience, Shipping real production products, Integrating AI/LLMs into applications, Understanding of APIs, Understanding of backend systems, Understanding of system architecture, Understanding of scalable product design, Experience with Supabase, Experience with Firebase, Experience with PostgreSQL, Experience with similar backend platforms, Understanding of AI limitations, Debugging and problem-solving ability, Ability to work independently
Nice to Have
Experience building AI agents, Experience building workflow automation systems, Experience building SaaS platforms, Familiarity with Claude, Familiarity with OpenAI APIs, Familiarity with Vector databases, Familiarity with RAG workflows, Startup or MVP-to-production experience, Exposure to logistics, Exposure to aviation, Exposure to operational platforms, Exposure to membership systems
What You'll Do.
Build full-stack applications
Integrate AI/LLMs into production
Build production-ready web application
Ship features rapidly
Improve platform continuously
Design scalable system architecture
Design maintainable system architecture
Build AI-powered workflows
Build product experiences
Implement prompt workflows
Implement hallucination handling
Implement failure recovery systems
Build backend services
Work with authentication systems
Work with permissions
Work with real-time data flows
Design efficient database structures
Implement authentication
Implement role-based permissions
Implement data protection best practices
Improve user experience
Debug production issues
Optimize system stability
Work with product stakeholders
Translate ideas into solutions
Iterate based on feedback
Iterate based on user behavior
Iterate based on operational needs
Build and ship product features
Develop frontend interfaces
Integrate AI workflows
Improve prompt handling
Improve AI reliability
Refactor systems for scalability
Refactor systems for maintainability
How You'll Work.
Team & Collaboration
Product collaboration; Work with leadership; Work with stakeholders
Full Job Description
### **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 Coll
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