1 publicación de empleo destacada en tooling maintenance engineer (¡Están contratando!)

AI Product Engineer (Full Stack)
Pavago —México
- Tiempo completo
- Home Office (Desde casa)
- Experiencia en bases de datos
- JavaScript
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AI Product Engineer (Full Stack)

Pavago
México

Postulación rápida

Información del empleo

Tiempo completo

Cualificaciones

Modelos de inteligencia artificial
Node.js
Derecho
React
Tooling
Experiencia en logística
Experiencia en bases de datos
Docker
JavaScript
PostgreSQL
Usabilidad
SaaS
TypeScript
Debugging

Descripción completa del empleo

AI Product Engineer (Full Stack) – AI/LLM Applications

Full-Time | Remote | U.S. Business Hours

About the Role

We’re hiring an AI Product Engineer (Full Stack) to build and scale a real-world AI-powered product from the ground up.

This is a highly hands-on role for someone who can:

Build full-stack applications end-to-end
Integrate AI/LLMs into production systems
Ship quickly and iterate fast
Own architecture, performance, and reliability

This is not a maintenance-only role.

You’ll be building a live production platform that combines:

Modern web application development
AI-powered workflows
Scalable backend systems
Real-world operational functionality

If you enjoy:
building products
shipping fast
integrating AI into real use cases
solving technical problems independently

This role is a strong fit.

What You’ll OwnFull Stack Product Development

Build and launch a production-ready web application from scratch
Own both:
- Frontend development
- Backend architecture
Ship features rapidly and improve the platform continuously post-launch
Design scalable, maintainable system architecture

AI & LLM Integration

Integrate AI models such as:
- Claude
- OpenAI
- Gemini
Build AI-powered workflows and product experiences
Implement:
- prompt workflows
- guardrails
- hallucination handling
- failure recovery systems
Optimize AI outputs for reliability and usability

Backend Systems & APIs

Build scalable APIs and backend services
Work extensively with:
- Supabase
- PostgreSQL
- authentication systems
- permissions
- real-time data flows
Design efficient database structures and backend logic

Security, Reliability & Performance

Implement:
- authentication
- role-based permissions
- data protection best practices
Improve:
- scalability
- performance
- uptime
- user experience
Debug production issues and optimize system stability

Product Collaboration

Work directly with leadership and product stakeholders
Translate ideas into production-ready technical solutions
Iterate rapidly based on:
- product feedback
- user behavior
- operational needs

What We’re Looking ForNon-Negotiables

Strong full stack development experience
Proven experience shipping real production products
Hands-on experience integrating AI/LLMs into applications
Strong understanding of:
- APIs
- backend systems
- system architecture
- scalable product design
Experience with:
- Supabase
- Firebase
- PostgreSQL
- or similar backend platforms
Understanding of AI limitations:
- hallucinations
- edge cases
- prompt reliability
Strong debugging and problem-solving ability
Ability to work independently with high ownership

Nice to Have

Experience building:
- AI agents
- workflow automation systems
- SaaS platforms
Familiarity with:
- Claude
- OpenAI APIs
- vector databases
- RAG workflows
Startup or MVP-to-production experience
Exposure to:
- logistics
- aviation
- operational platforms
- membership systems

Tech Stack Exposure

Strong candidates may have experience with:

React / Next.js
TypeScript
Node.js
Supabase
PostgreSQL
REST APIs
AI APIs (Claude/OpenAI/Gemini)
Vercel / Docker / cloud deployments

What a Typical Day Looks Like

Build and ship new product features
Develop frontend interfaces and backend APIs
Integrate AI workflows into product experiences
Improve prompt handling and AI reliability
Debug production issues and optimize performance
Collaborate with leadership on product direction
Refactor systems for scalability and maintainability

In short:
You build AI-powered products that are fast, scalable, reliable, and production-ready.

Success Looks Like

Successful launch of production-ready applications
Reliable AI workflows with minimal failures
Fast feature delivery and iteration cycles
Stable backend systems and APIs
Reduced bugs and improved performance over time
Scalable, maintainable architecture

Why This Role Stands Out

High ownership and autonomy
Build real AI products, not internal experiments
Direct impact on product and technical direction
Work with modern AI tooling and infrastructure
Opportunity to scale products from MVP to production
Fully remote flexibility

Interview Process

Initial Screening Call
Technical & Systems Design Interview
Practical Product Build / AI Scenario
Final Interview
Internal Review & Offer

Apply Now

If you:

Love building products from scratch
Enjoy shipping fast and solving hard problems
Have real AI + full-stack experience
Want ownership in a fast-moving environment

This role is built for you.

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AI Product Engineer (Full Stack)

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