AI Product Engineer (Full Stack) at Pavago

, , Mexico -

Full Time

Start Date

Immediate

Expiry Date

03 Jul, 26

Salary

0.0

Posted On

04 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Full stack development, AI integration, LLM, Supabase, System architecture, API design, Frontend development, Backend development, Product development, Security best practices, Data protection, Authentication, Scalability, Performance optimization, Debugging, Cloud deployment

Industry

Staffing and Recruiting

Description

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 & SkillsNon-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

Responsibilities

The AI Product Engineer will build and launch a production-ready web application from the ground up while integrating AI-driven workflows. They will own the full development lifecycle, including backend infrastructure, API design, and continuous product iteration.