{"id":135661,"url":"https://alion.io/job/pavago-ai-product-engineer-full-stack-2","title":"AI Product Engineer (Full Stack)","company":{"id":1117,"name":"Pavago","domain":"pavago.co","url":"https://alion.io/company/pavago","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":192,"ghost_share":0,"stale_share":0.984,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":{"label":"US time 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role.\nYou’ll be building a live production platform that combines:\nModern web application development\nAI-powered workflows\nScalable backend systems\nReal-world operational functionality\nIf you enjoy:\nBuilding products\nShipping fast\nIntegrating AI into real use cases\nSolving technical problems independently\nThis role is a strong fit.\nWhat You’ll Own\nFull Stack Product Development\nBuild and launch a production-ready web application from scratch\nOwn both:\nFrontend development\nBackend architecture\nShip features rapidly and improve the platform continuously post-launch\nDesign scalable, maintainable system architecture\nAI & LLM Integration\nIntegrate AI models such as:\nClaude\nOpenAI\nGemini\nBuild AI-powered workflows and product experiences\nImplement:\nPrompt workflows\nGuardrails\nHallucination handling\nFailure recovery systems\nOptimize AI outputs for reliability and usability\nBackend Systems & APIs\nBuild scalable APIs and backend services\nWork extensively with:\nSupabase\nPostgreSQL\nAuthentication systems\nPermissions\nReal-time data flows\nDesign efficient database structures and backend logic\nSecurity, Reliability & Performance\nImplement:\nAuthentication\nRole-based permissions\nData protection best practices\nImprove:\nScalability\nPerformance\nUptime\nUser experience\nDebug production issues and optimize system stability\nProduct Collaboration\nWork directly with leadership and product stakeholders\nTranslate ideas into production-ready technical solutions\nIterate rapidly based on:\nProduct feedback\nUser behavior\nOperational needs\nRequirements\nNon-Negotiables\nStrong full-stack development experience\nProven experience shipping real production products\nHands-on experience integrating AI/LLMs into applications\nStrong understanding of:\nAPIs\nBackend systems\nSystem architecture\nScalable product design\nExperience with:\nSupabase\nFirebase\nPostgreSQL\nSimilar backend platforms\nUnderstanding of AI limitations, including:\nHallucinations\nEdge cases\nPrompt reliability\nStrong debugging and problem-solving ability\nAbility to work independently with high ownership\nNice to Have\nExperience building:\nAI agents\nWorkflow automation systems\nSaaS platforms\nFamiliarity with:\nClaude\nOpenAI APIs\nVector databases\nRAG workflows\nStartup or MVP-to-production experience\nExposure to:\nLogistics\nAviation\nOperational platforms\nMembership systems\nTech Stack Exposure\nStrong candidates may have experience with:\nReact / Next.js\nTypeScript\nNode.js\nSupabase\nPostgreSQL\nREST APIs\nAI APIs (Claude, OpenAI, Gemini)\nVercel\nDocker\nCloud deployments\nWhat a Typical Day Looks Like\nBuild and ship new product features\nDevelop frontend interfaces and backend APIs\nIntegrate AI workflows into product experiences\nImprove prompt handling and AI reliability\nDebug production issues and optimize performance\nCollaborate with leadership on product direction\nRefactor systems for scalability and maintainability\nIn short: you build AI-powered products that are fast, scalable, reliable, and production-ready.\nSuccess Looks Like\nSuccessful launch of production-ready applications\nReliable AI workflows with minimal failures\nFast feature delivery and iteration cycles\nStable backend systems and APIs\nReduced bugs and improved performance over time\nScalable, maintainable architecture\nWhy This Role Stands Out\nHigh ownership and autonomy\nBuild real AI products, not internal experiments\nDirect impact on product and technical direction\nWork with modern AI tooling and infrastructure\nOpportunity to scale products from MVP to production\nFully remote flexibility\nInterview Process\nInitial Screening Call\nTechnical & Systems Design Interview\nPractical Product Build / AI Scenario\nFinal Interview\nInternal Review & Offer\nApply Now\nIf you:\nLove building products from scratch\nEnjoy shipping fast and solving hard problems\nHave real AI and full-stack experience\nWant ownership 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