AI Product Engineer (Full Stack)

Pavago

1d•Remote

About The Position

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, and 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, and real-world operational functionality. If you enjoy building products, shipping fast, integrating AI into real use cases, and solving technical problems independently, this role is a strong fit.

Requirements

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, and scalable product design
Experience with Supabase, Firebase, PostgreSQL, or similar backend platforms
Understanding of AI limitations, including hallucinations, edge cases, and prompt reliability
Strong debugging and problem-solving ability
Ability to work independently with high ownership

Nice To Haves

Experience building AI agents, workflow automation systems, and SaaS platforms
Familiarity with Claude, OpenAI APIs, Vector databases, and RAG workflows
Startup or MVP-to-production experience
Exposure to logistics, aviation, operational platforms, or membership systems

Responsibilities

Build and launch a production-ready web application from scratch
Own both frontend development and backend architecture
Ship features rapidly and improve the platform continuously post-launch
Design scalable, maintainable system architecture
Integrate AI models such as Claude, OpenAI, and Gemini
Build AI-powered workflows and product experiences
Implement prompt workflows, guardrails, hallucination handling, and failure recovery systems
Optimize AI outputs for reliability and usability
Build scalable APIs and backend services
Work extensively with Supabase, PostgreSQL, authentication systems, permissions, and real-time data flows
Design efficient database structures and backend logic
Implement authentication, role-based permissions, and data protection best practices
Improve scalability, performance, uptime, and user experience
Debug production issues and optimize system stability
Work directly with leadership and product stakeholders
Translate ideas into production-ready technical solutions
Iterate rapidly based on product feedback, user behavior, and operational needs