[Remote] AI Product Engineer (Full Stack)
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