AI Product Engineer (Full Stack)

AI Product Engineer (Full Stack) – AI/LLM Applications

Position Type: Full-Time, Remote

Working Hours

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

Requirements

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 + Similar backend platforms * Understanding of AI limitations, including: * + 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 and full-stack experience
• Want ownership in a fast-moving environment

This role is built for you.