AI Product Engineer (Full Stack)
Tasks
- Apply data protection practices
- Build backend systems with Supabase
- Build production web application
- Collaborate on product iteration
- Debug and fix system issues
- Design AI-driven workflows
- Design scalable APIs
- Implement AI guardrails
- Implement authentication and permissions
- Improve code quality and stability
- Integrate LLMs into product use cases
- Manage data structures
- Optimize performance and reliability
- Own frontend and backend development
Perks/Benefits
Skills/Tech-stack
API Design | Application development | Artificial Intelligence | Authentication | Authorization | Data Protection | Debugging | Full Stack | Full-Stack Development | LLM integration | Language Models | Large Language Models | Machine Learning | Performance optimization | Reliability | Scalability | Stack development | Supabase | System Architecture | Web Application | Web Application Development
Education
N/A
Roles
AI | AI Product Engineer | Developer | Engineer | Full Stack | Full Stack Developer | Product Engineer
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