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 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.