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