# AI Product Engineer (Full Stack)

> Pavago · United States (Remote) · — · Posted 2026-06-10

**Workplace:** remote

**Department:** Candidate Sourcing

## 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 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.

### **Success Looks Like**

-   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

### **Why This Role Stands Out**

-   High ownership and autonomy
-   Build real AI products, not internal experiments
-   Direct impact on product and technical direction
-   Work with modern AI tooling and infrastructure
-   Opportunity to scale products from MVP to production
-   Fully remote flexibility

### **Interview Process**

-   Initial Screening Call
-   Technical & Systems Design Interview
-   Practical Product Build / AI Scenario
-   Final Interview
-   Internal Review & Offer

### **Apply Now**

If you:

-   Love building products from scratch
-   Enjoy shipping fast and solving hard problems
-   Have real AI and full-stack experience
-   Want ownership in a fast-moving environment

This role is built for you.

## Apply

[Apply at Pavago](https://apply.workable.com/pavago/j/5D149F271C/apply)

---
Powered by [Workable](https://www.workable.com)