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AI Product Engineer (Full Stack)

Indeed
Full-time
Onsite
No experience limit
No degree limit
Mexico
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Description

Summary: Seeking an execution-focused AI Product Engineer to build, scale, and iterate on a production-ready web application with integrated AI capabilities, taking full ownership of end-to-end development. Highlights: 1. Build and launch a production-ready web application from concept to deployment. 2. Design and implement AI-driven workflows, integrating LLMs into real use cases. 3. Own both frontend and backend development across the full stack. **Job Title:** AI Product Engineer (Full Stack) **Position Type:** Full\-Time, Remote **Working Hours:** U.S. Business Hours **About the Role** We’re hiring an execution\-focused AI Product Engineer (Full Stack) to build and scale a production\-ready web application from the ground up. This is a hands\-on role for someone who can take full ownership of both frontend and backend development while integrating AI capabilities into real\-world product use cases. This is not a support or maintenance role — it requires building, shipping, and iterating on a live product with strong system design, performance, and reliability. **What You’ll Own****Full Product Development (End\-to\-End)** * Build and launch a production\-ready web application from concept to deployment. * Own both frontend and backend development across the full stack. * Continuously iterate and improve the product post\-launch. **AI Integration \& Workflows** * Design and implement AI\-driven workflows within the product. * Integrate LLMs (e.g., Claude or similar) into real use cases. * Implement guardrails to manage AI limitations (hallucinations, edge cases). **Backend Systems \& Infrastructure** * Build and manage backend systems using Supabase or similar tools. * Design scalable APIs and data structures. * Ensure efficient data handling and system performance. **Security \& System Reliability** * Implement authentication, permissions, and data protection practices. * Ensure system security and integrity across the platform. * Optimize performance, scalability, and reliability. **Product Collaboration \& Iteration** * Work closely with leadership to rapidly ship and improve features. * Translate product ideas into working technical solutions. * Continuously refine the system based on feedback and usage. **Debugging \& Optimization** * Identify and fix system issues and bugs. * Improve system stability and user experience. * Maintain high\-quality code and system performance. **Must\-Have Experience \& Skills****Non\-Negotiables*** Strong full stack development experience (frontend \+ backend). * Proven track record of building and shipping real, production\-level products. * Hands\-on experience integrating AI/LLMs into applications. * Strong understanding of system architecture and API design. * Experience with Supabase or similar backend platforms. * Strong understanding of AI limitations (hallucinations, failure handling). * Knowledge of security best practices (authentication, permissions, data protection). * Ability to work independently and take full ownership of product development. **Nice\-to\-Haves*** Experience building AI agents or automation workflows. * Familiarity with Claude or similar LLM tools in production. * Experience building SaaS or operational platforms. * Exposure to aviation, logistics, or membership systems. * Experience scaling products from MVP to production. **Key Metrics for Success*** Successful launch of production\-ready application. * Stability and performance of the system. * Quality and effectiveness of AI integrations. * Speed of feature delivery and iteration. * Reduction in bugs and system issues over time. * Scalability and maintainability of the platform. **Interview Process*** Initial Screening Call * Technical \& Systems Design Interview * Practical Task (Product Build / AI Integration Scenario) * Final Interview * Internal Review \& Approval * Offer \& Onboarding \#LI\-AG1

Source:  indeed View original post
Juan García
Indeed · HR

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