AI Product Engineer (Full Stack)
Tasks
- Apply data protection practices
- Build backend systems with Supabase
- Build production web application
- Debug system issues and bugs
- Design data structures
- Design scalable APIs
- Implement AI guardrails
- Implement authentication and permissions
- Improve system stability and user experience
- Integrate LLM workflows into product
- Iterate product based on feedback
- Optimize performance and reliability
- Own frontend and backend development
Perks/Benefits
Skills/Tech-stack
AI workflows | API Design | Authentication | Authorization | Backend Development | Best practices | Data Protection | Frontend Development | Full Stack | Full-Stack Development | LLM integration | Performance optimization | Reliability | Scalability | Security best practices | Stack development | Supabase | System Architecture
Education
N/A
Roles
AI | AI Product Engineer | Developer | Engineer | Full Stack | Full Stack Developer | Product Engineer
Regions
Countries
States
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