Remote Full-Stack AI Product Engineer

Pavago

United States

Remote

USD 130,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Fully remote environment

Job summary

Pavago is seeking an AI Product Engineer (Full Stack) to build a production-ready web application from the ground up. This hands-on role spans frontend and backend, AI/LLM integration, APIs, and data infrastructure in a fully remote setting with U.S. hours.

You’ll own the entire technical product, ship features end-to-end, and collaborate with leadership to translate ideas into reliable software. Experience shipping production AI integrations and designing scalable architectures is essential.

Qualifications

  • Strong full-stack engineering experience across frontend and backend.
  • Proven ability to build and ship production-level products.
  • Hands-on experience integrating AI/LLMs into real applications.
  • Solid knowledge of system architecture, API design, data structures, and performance.
  • Familiarity with Supabase or similar backend platforms.
  • Understanding of security best practices, including authentication and data protection.

Responsibilities

  • Own development of the product from initial architecture through production deployment.
  • Build and launch a production-ready web application across frontend and backend.
  • Design intuitive, responsive product experiences and scalable architecture.
  • Translate product requirements into working features and dispatch tasks accordingly.
  • Deploy, monitor, and improve the application based on feedback and metrics.
  • Integrate AI/LLMs into product workflows with robust safeguards.

Skills

Full-stack engineering
Production-ready shipping
AI/LLM integration
System architecture
API design
Security best practices
Supabase backend

Tools

Supabase
Claude or similar LLMs

Job description

Pavago is seeking an AI Product Engineer (Full Stack) to build a production-ready web application from the ground up. This hands-on role spans frontend and backend, AI/LLM integration, APIs, and data infrastructure in a fully remote setting with U.S. hours.

You’ll own the entire technical product, ship features end-to-end, and collaborate with leadership to translate ideas into reliable software. Experience shipping production AI integrations and designing scalable architectures is essential.

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