Pavago
Skills: React, Next.js, TypeScript, Node.js, SQL, Docker
🤖 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 Coll …truncated… :
+ AI agents + workflow automation systems + SaaS platforms
Familiarity with:
+ Claude + OpenAI APIs + vector databases + RAG workflows
Startup or MVP-to-produc…
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