About the job
Job Title: AI Product Engineer (Full Stack)
Position Type: Full-Time, Remote
Working Hours: U. S. Business Hours
About the Role
Join our dynamic team at pavago as an AI Product Engineer (Full Stack), where you will play a pivotal role in developing and scaling a cutting-edge, production-ready web application from inception to deployment.
This hands-on position requires a proactive individual who can take full ownership of both frontend and backend development, seamlessly integrating AI capabilities into practical product applications.
This is not a support or maintenance role; it demands a focus on building, shipping, and continuously iterating on a live product with an emphasis on robust system design, performance, and reliability.
Your Responsibilities
End-to-End Product Development
- Develop and launch a production-ready web application from concept to deployment.
- Take ownership of both frontend and backend development across the full stack.
- Continuously iterate and enhance the product after launch.
AI Integration & Workflows
- Design and implement AI-driven workflows within the product.
- Integrate large language models (LLMs) such as Claude into real-world use cases.
- Establish guardrails to manage AI limitations, addressing issues like hallucinations and edge cases.
Backend Systems & Infrastructure
- Build and manage backend systems using Supabase or similar technologies.
- Design scalable APIs and effective data structures.
- Ensure optimal data handling and system performance.
Security & System Reliability
- Implement robust authentication, permissions, and data protection practices.
- Guarantee system security and integrity across the platform.
- Optimize for performance, scalability, and reliability.
Product Collaboration & Iteration
- Collaborate closely with leadership to rapidly ship and enhance features.
- Translate product ideas into effective technical solutions.
- Refine the system continuously based on user feedback and engagement.
Debugging & Optimization
- Identify and resolve system issues and bugs.
- Enhance system stability and user experience.
- Maintain high-quality code and system performance.
Essential Skills & Experience
Must-Haves
- Strong full stack development experience (frontend and backend).
- Proven history of building and launching real, production-level products.
- Hands-on experience integrating AI/LLMs into applications.
- Deep understanding of system architecture and API design.
- Experience with Supabase or comparable backend platforms.
- Strong grasp of AI limitations and failure handling.
- Knowledge of security best practices.
