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.