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 Collaboration

Work directly with leadership and product stakeholders
Translate ideas into production-ready technical solutions
Iterate rapidly based on:

Product feedback
User behavior
Operational needs

Requirements

Non-Negotiables

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
Scalable product design

Experience with:

Supabase
Firebase
PostgreSQL
Similar backend platforms

Understanding of AI limitations, including:

Hallucinations
Edge cases
Prompt reliability

Strong 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

Tech Stack Exposure

Strong candidates may have experience with:

React / Next.js
TypeScript
Node.js
Supabase
PostgreSQL
REST APIs
AI APIs (Claude, OpenAI, Gemini)
Vercel
Docker
Cloud deployments

What a Typical Day Looks Like

Build and ship new product features
Develop frontend interfaces and backend APIs
Integrate AI workflows into product experiences
Improve prompt handling and AI reliability
Debug production issues and optimize performance
Collaborate with leadership on product direction
Refactor systems for scalability and maintainability

In short: you build AI-powered products that are fast, scalable, reliable, and production-ready.

AI Product Engineer (Full Stack) at Pavago