Note: The job is a remote job and is open to candidates in USA. Pavago is seeking an AI Product Engineer (Full Stack) to build and scale a real-world AI-powered product from the ground up. This role involves developing full-stack applications, integrating AI/LLMs into production systems, and ensuring the performance and reliability of the platform.

Responsibilities

• 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
• 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
• 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
• Implement: Authentication, Role-based permissions, Data protection best practices
• Improve: Scalability, Performance, Uptime, User experience
• Debug production issues and optimize system stability
• Work directly with leadership and product stakeholders
• Translate ideas into production-ready technical solutions
• Iterate rapidly based on: Product feedback, User behavior, Operational needs

Skills

• Strong full-stack development experience
• Proven experience shipping real production products
• Hands-on experience integrating AI/LLMs into applications
• Strong understanding of APIs
• Strong understanding of backend systems
• Strong understanding of system architecture
• Strong understanding of scalable product design
• Experience with Supabase
• Experience with Firebase
• Experience with PostgreSQL
• Experience with similar backend platforms
• Understanding of AI limitations, including hallucinations
• Understanding of AI limitations, including edge cases
• Understanding of AI limitations, including prompt reliability
• Strong debugging and problem-solving ability
• Ability to work independently with high ownership
• Experience building AI agents
• Experience building workflow automation systems
• Experience building SaaS platforms
• Familiarity with Claude
• Familiarity with OpenAI APIs
• Familiarity with vector databases
• Familiarity with RAG workflows
• Startup or MVP-to-production experience
• Exposure to logistics
• Exposure to aviation
• Exposure to operational platforms
• Exposure to membership systems

Benefits

• Full-Time, Remote
• Working Hours: U.S. Business Hours
• Fully remote flexibility

Company Overview