AI Product Engineer (Full Stack)

🤖 AI Product Engineer (Full Stack) – AI/LLM Applications

Full-Time | Remote | 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

🔥 What We’re Looking For

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

• or similar backend platforms

• Understanding of AI limitations:

• 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 + full-stack experience

• Want ownership in a fast-moving environment

This role is built for you.