AI Product Engineer (Full Stack)

Colombia. Mexico. Argentina. Costa Rica. Jamaica, U.S. Business HoursFull-Time

Salary not disclosed

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Job Details

Required Skills: DockerNode.jsPostgreSQLFull Stack DevelopmentTypeScriptFirebaseNext.jsReactProblem SolvingRESTful APIsDebugging

Strong full stack development experience
Proven experience shipping real production products
Hands-on experience integrating AI/LLMs into applications
Strong understanding of APIs
Strong understanding of backend systems
Strong understanding of system architecture
Strong understanding of scalable product design
Experience with Supabase, Firebase, PostgreSQL, or similar backend platforms
Understanding of AI limitations (hallucinations, edge cases, prompt reliability)
Strong debugging and problem-solving ability
Ability to work independently with high ownership
Experience building AI agents, workflow automation systems, SaaS platforms (Nice to Have)
Familiarity with Claude, OpenAI APIs, vector databases, RAG workflows (Nice to Have)
Startup or MVP-to-production experience (Nice to Have)
Exposure to logistics, aviation, operational platforms, membership systems (Nice to Have)

Build and launch a production-ready web application from scratch
Own both frontend development and backend architecture
Ship features rapidly and improve the platform continuously post-launch
Design scalable, maintainable system architecture
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
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
Implement authentication, role-based permissions, data protection best practices
Improve scalability, performance, uptime, user experience
Debug production issues and optimize system stability
Work directly with leadership and product stakeholders
Translate ideas into production-ready technical solutions
Iterate rapidly based on product feedback, user behavior, operational needs

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