Pavago - Connecting You to Global Remote Opportunities 🌍
At Pavago, we redefine the boundaries of talent recruitment. Dive into a world where your geographical location doesn't restrict your career aspirations. As a distinguished international recruitment agency, we specialize in connecting remote talents with companies eager to tap into global expertise.
🌟 Why Consider Opportunities Through Pavago?
**Competitive Pay:** Command the salary you deserve, regardless of where you reside.
**Broad Horizons:** Unlock a wide array of remote positions spanning diverse industries and regions.
**Skill Enrichment:** Work alongside international teams, contribute your unique insights, and amplify your career trajectory.
Whether you're a seasoned professional hunting for a novel global venture or a budding talent keen on leaving an international imprint, Pavago is your conduit to businesses that appreciate and seek out worldwide perspectives.
Embrace a realm where opportunities transcend borders. Together, let's pioneer the next era of remote work. 🚀
Explore global opportunities with us today!"
**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
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