AI Product Engineer (Full Stack)
Tasks
- Apply AI guardrails
- Build production web application
- Build scalable APIs
- Collaborate with product stakeholders
- Debug production issues
- Design backend architecture
- Develop frontend components
- Handle AI failures and recovery
- Implement authentication
- Implement prompt workflows
- Implement role based permissions
- Improve scalability performance uptime
- Integrate AI and LLMs into applications
- Iterate based on feedback and usage
- Optimize AI outputs for reliability
- Optimize system stability
- Protect data
- Translate product ideas into technical solutions
Perks/Benefits
Skills/Tech-stack
Access Control | Authentication | Cloud Deployments | Docker | JavaScript | LLM integration | Next.js | Node.js | PostgreSQL | Prompt engineering | REST API | React | Retrieval-Augmented Generation | Role-Based Access | Role-Based Access Control | Supabase | TypeScript | Vector Databases | Vercel
Education
N/A
Roles
AI | AI Product Engineer | Engineer | Full Stack | Full Stack Engineer | Product Engineer
Regions
Countries
States
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