Pavago
Staffing and Recruiting
AIProductEngineer(FullStack)
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“AI Product Engineer (Full Stack) at Pavago. Skills: Full Stack Development, AI/LLM Integration, Backend Systems. Build full-stack applications end-to-end. Integrate AI/LLMs into production systems”
What You'll Achieve.
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
Industry & Context.
solving technical problems independently; debugging and problem-solving ability; Debug production issues; optimize system stability; solving hard problems
What They're Looking For.
Must Have
full stack development experience, Proven experience shipping real production products, Hands-on experience integrating AI/LLMs into applications, understanding of APIs, backend systems, system architecture, scalable product design, Experience with Supabase, Firebase, PostgreSQL, or similar backend platforms, Understanding of AI limitations, hallucinations, edge cases, prompt reliability, 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
What You'll Do.
Build full-stack applications end-to-end
Integrate AI/LLMs into production systems
Ship quickly and iterate fast
Build and launch production-ready web application
Ship features rapidly
improve platform continuously
maintainable system architecture
Build AI-powered workflows
Build AI-powered 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 directly with leadership
Work with product stakeholders
Translate ideas into technical solutions
Iterate rapidly based on feedback
Build and ship new product features
Develop frontend interfaces
Integrate AI workflows
Improve prompt handling
Improve AI reliability
Debug production issues
Collaborate with leadership
Refactor systems for scalability
Refactor systems for maintainability
Build AI-powered products
How You'll Work.
Team & Collaboration
Work directly with leadership and product stakeholders; Collaborate with leadership on product direction
Full Job Description
### **🤖 AI Product Engineer (Full Stack) – AI/LLM Applications** **Full-Time | Remote | 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*
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