
AI Product Engineer (Full Stack)
PavagoAI 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 devel
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