AI Product Engineer (Full Stack)
Tasks
- Add guardrails for AI outputs
- Build failure recovery systems
- Build full stack applications
- Build scalable backend services
- Collaborate with product stakeholders
- Debug production issues
- Design database schemas
- Develop AI-powered workflows
- Develop REST APIs
- Handle hallucinations
- Implement authentication and role based permissions
- Implement prompt workflows
- Improve security, reliability, and performance
- Integrate AI and LLMs into production systems
- Optimize AI output reliability
- Refactor systems for scalability and maintainability
- Translate product ideas into technical solutions
Perks/Benefits
Skills/Tech-stack
AI APIs | Access Control | Authentication | Docker | Firebase | Guardrails | Next.js | Node.js | PostgreSQL | Prompt engineering | REST APIs | React | Retrieval-Augmented Generation | Role-Based Access | Role-Based Access Control | Supabase | TypeScript | Vector Databases | Vercel
Education
N/A
Roles
AI | AI Product Engineer | Developer | Engineer | Full Stack | Full Stack Developer | Product Engineer
Regions
Countries
States
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