AI Product Engineer (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

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