Job description
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.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.