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.