AI Product Engineer (Full Stack)

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 OwnFull 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

RequirementsNon-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

Practical Product Build / AI Scenario

Final Interview

Internal Review & Offer

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.