AI Product Engineer (Full Stack)

Tasks

• Build and launch production web application
• Build and optimize data models and database queries
• Build reliable LLM interactions with app logic and data
• Deploy monitor and improve application
• Design and build scalable APIs
• Design scalable application architecture
• Diagnose and resolve bugs
• Enforce data access controls
• Handle edge cases and model failures
• Implement AI safeguards and output validation
• Implement authentication and authorization
• Improve reliability and reduce technical debt
• Integrate LLMs into product workflows
• Integrate external APIs and AI services
• Iterate features based on user feedback
• Monitor system behavior and performance
• Own frontend and backend development
• Structure prompts and outputs for consistent behavior

Perks/Benefits

• Remote work
• US business hours

Skills/Tech-stack

AI Agents | AI safeguards | API Design | Application Performance Optimization | Application performance | Authentication | Authorization | Best practices | Case handling | Database Design | Database Queries | Edge Case | Edge Case Handling | Error Handling | Full Stack | Full-Stack Development | LLM integration | Output Validation | Performance optimization | Prompt engineering | Security best practices | Stack development | Supabase | System Architecture | Tool-Calling | Workflow automation