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.

📌 AI Product Engineer (Full Stack) (México)
🏢 Pavago
📍 México