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Open nowPosted 130 days ago

AI Product Engineer (Full Stack)

Workable (global search)107,990 open roles

Where
Argentina
Work mode
Remote
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Your applicationOpen nowAI Product Engineer (Full Stack)Workable (global search) · Argentina

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 6 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 130 days ago

Workable (global search) median: 6 days open

The posting

🤖 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 Own

Full 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 For

Non-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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