AI Product Engineer (Full Stack)

AI Product Engineer (Full Stack) – AI/LLM ApplicationsPosition Type: Full-Time, Remote Working Hours: U.S. Business HoursAbout the RoleWe’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-endIntegrate AI/LLMs into production systemsShip quickly and iterate fastOwn architecture, performance, and reliabilityThis is not a maintenance-only role.You’ll be building a live production platform that combines:Modern web application developmentAI-powered workflowsScalable backend systemsReal-world operational functionalityIf you enjoy:Building productsShipping fastIntegrating AI into real use casesSolving technical problems independentlyThis role is a strong fit.What You’ll OwnFull Stack Product DevelopmentBuild and launch a production-ready web application from scratchOwn both:Frontend developmentBackend architectureShip features rapidly and improve the platform continuously post-launchDesign scalable, maintainable system architectureAI & LLM IntegrationIntegrate AI models such as:ClaudeOpenAIGeminiBuild AI-powered workflows and product experiencesImplement:Prompt workflowsGuardrailsHallucination handlingFailure recovery systemsOptimize AI outputs for reliability and usabilityBackend Systems & APIsBuild scalable APIs and backend servicesWork extensively with:SupabasePostgreSQLAuthentication systemsPermissionsReal-time data flowsDesign efficient database structures and backend logicSecurity, Reliability & PerformanceImplement:AuthenticationRole-based permissionsData protection best practicesImprove:ScalabilityPerformanceUptimeUser experienceDebug production issues and optimize system stabilityProduct CollaborationWork directly with leadership and product stakeholdersTranslate ideas into production-ready technical solutionsIterate rapidly based on:Product feedbackUser behaviorOperational needsRequirementsNon-NegotiablesStrong full-stack development experienceProven experience shipping real production productsHands-on experience integrating AI/LLMs into applicationsStrong understanding of:APIsBackend systemsSystem architectureScalable product designExperience with:SupabaseFirebasePostgreSQLSimilar backend platformsUnderstanding of AI limitations, including:HallucinationsEdge casesPrompt reliabilityStrong debugging and problem-solving abilityAbility to work independently with high ownershipNice to HaveExperience building:AI agentsWorkflow automation systemsSaaS platformsFamiliarity with:ClaudeOpenAI APIsVector databasesRAG workflowsStartup or MVP-to-production experienceExposure to:LogisticsAviationOperational platformsMembership systemsTech Stack ExposureStrong candidates may have experience with:React / Next.jsTypeScriptNode.jsSupabasePostgreSQLREST APIsAI APIs (Claude, OpenAI, Gemini)VercelDockerCloud deploymentsWhat a Typical Day Looks LikeBuild and ship new product featuresDevelop frontend interfaces and backend APIsIntegrate AI workflows into product experiencesImprove prompt handling and AI reliabilityDebug production issues and optimize performanceCollaborate with leadership on product directionRefactor systems for scalability and maintainabilityIn short: you build AI-powered products that are fast, scalable, reliable, and production-ready.Success Looks LikeSuccessful launch of production-ready applicationsReliable AI workflows with minimal failuresFast feature delivery and iteration cyclesStable backend systems and APIsReduced bugs and improved performance over timeScalable, maintainable architectureWhy This Role Stands OutHigh ownership and autonomyBuild real AI products, not internal experimentsDirect impact on product and technical directionWork with modern AI tooling and infrastructureOpportunity to scale products from MVP to productionFully remote flexibilityInterview ProcessInitial Screening CallTechnical & Systems Design InterviewPractical Product Build / AI ScenarioFinal InterviewInternal Review & OfferApply NowIf you:Love building products from scratchEnjoy shipping fast and solving hard problemsHave real AI and full-stack experienceWant ownership in a fast-moving environmentThis role is built for you.

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.

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Pavago - Connecting You to Global Remote Opportunities 🌍

At Pavago, we redefine the boundaries of talent recruitment. Dive into a world where your geographical location doesn't restrict your career aspirations. As a distinguished international recruitment agency, we specialize in connecting remote talents with companies eager to tap into global expertise.

🌟 Why Consider Opportunities Through Pavago?

Competitive Pay: Command the salary you deserve, regardless of where you reside.

Broad Horizons: Unlock a wide array of remote positions spanning diverse industries and regions.

Skill Enrichment: Work alongside international teams, contribute your unique insights, and amplify your career trajectory.

Whether you're a seasoned professional hunting for a novel global venture or a budding talent keen on leaving an international imprint, Pavago is your conduit to businesses that appreciate and seek out worldwide perspectives.

Embrace a realm where opportunities transcend borders. Together, let's pioneer the next era of remote work. 🚀

Explore global opportunities with us today!"