AI Product Engineer (Full Stack)
Tasks
- Apply data protection practices
- Build backend systems with Supabase
- Build web applications end-to-end
- Debug and fix system issues and bugs
- Design and implement AI workflows
- Design data structures
- Design scalable APIs
- Develop frontend and backend features
- Ensure system security and integrity
- Implement AI guardrails
- Implement authentication and permissions
- Improve system stability and user experience
- Integrate LLMs into product use cases
- Maintain high-quality code
- Optimize performance scalability reliability
Perks/Benefits
Skills/Tech-stack
API Design | Artificial Intelligence | Authentication | Authorization | Best practices | Data Protection | Debugging | Full Stack | Full-Stack Development | Guardrails | LLM integration | Language Models | Large Language Models | Machine Learning | Performance optimization | Reliability Engineering | Scalability | Security best practices | Stack development | Supabase | System Architecture
Education
N/A
Roles
AI | AI Product Engineer | Engineer | Full Stack | Full Stack Engineer | Product Engineer
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