{"id":57242,"url":"https://alion.io/job/pavago-ai-product-engineer-full-stack","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":30,"computed_at":"2026-10-17T05:46:00Z"}},"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 zones","utc_offset_min":-8,"utc_offset_max":-5},"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["PK"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude","optional":false},{"name":"LLM","optional":false},{"name":"Supabase","optional":false},{"name":"Tool Use","optional":false},{"name":"LLM Guardrails","optional":true}],"status":"live","first_seen_at":"2026-08-13T00:00:00Z","employer_posted_date":"2026-08-13","last_verified_at":"2026-10-17T04:41:09Z","board_verified":true,"closed_at":null,"days_open":65,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":65},"description":"AI Product Engineer (Full Stack)\nAI/LLM Integration, Full-Stack Development & Product Engineering | Remote | U.S. Hours\nPosition Type: Full-Time, Remote\nWorking Hours: U.S. Business Hours\nAbout the Role\nAt Pavago, one of our clients is hiring an AI Product Engineer (Full Stack) to build and scale a production-ready web application from the ground up.\nThis is a hands-on product engineering role, not a support or maintenance position.\nYou’ll take ownership across the entire product lifecycle:\nFrontend development\nBackend architecture\nAI/LLM integration\nAPIs and data infrastructure\nAuthentication and security\nDeployment and performance\nProduct iteration and scaling\nYou’ll work closely with leadership to turn product ideas into working, production-ready software, ship quickly, learn from real usage, and continuously improve the platform.\nIf you’re a builder who can independently take an AI-powered product from concept → MVP → production → scale, this role is a strong fit.\nWhat You’ll Own\nFull-Stack Product Development - End-to-End\nOwn development of the product from initial architecture through production deployment.\nYou’ll:\nBuild and launch a production-ready web application\nOwn both frontend and backend development\nDesign intuitive, responsive product experiences\nBuild scalable application architecture\nTranslate product requirements into working features\nDeploy, monitor, and improve the application\nContinuously iterate after launch based on user feedback and product needs\nThis role requires someone comfortable owning the entire technical product, rather than working within one narrow layer of the stack.\nAI & LLM Integration\nDesign AI functionality that solves real product problems-not AI features added simply for novelty.\nYou’ll:\nIntegrate LLMs such as Claude or similar models\nDesign AI-powered product workflows\nBuild reliable interactions between LLMs, application logic, and user data\nStructure prompts and outputs for consistent product behavior\nHandle edge cases and model failures\nImplement safeguards and validation around AI-generated outputs\nYou should understand practical LLM limitations, including:\nHallucinations\nUnreliable outputs\nContext limitations\nEdge cases\nFailure handling\nThe goal is to build AI experiences users can actually rely on in production.\nBackend Systems, APIs & Data Infrastructure\nBuild and manage backend infrastructure using Supabase or similar platforms.\nYou’ll:\nDesign scalable APIs\nBuild efficient data models and structures\nManage application data and backend logic\nConnect frontend experiences to backend services\nIntegrate external APIs and AI services\nOptimize database queries and application performance\nBuild infrastructure capable of supporting continued product growth\nSecurity, Authentication & Permissions\nBuild security into the product from the beginning.\nImplement and maintain:\nAuthentication\nUser permissions\nAuthorization logic\nData access controls\nSecure API interactions\nData protection practices\nEnsure sensitive information is handled appropriately and that users only have access to the functionality and data they are authorized to use.\nAI Agents & Automation\nWhere appropriate, build more advanced AI-powered systems such as:\nAI agents\nMulti-step AI workflows\nAutomated operational processes\nTool-calling workflows\nAI-assisted decision systems\nDesign these systems with appropriate validation and safeguards so automation remains reliable in real-world scenarios.\nProduct Collaboration & Rapid Iteration\nWork directly with leadership to translate ideas into technical solutions.\nYou’ll:\nUnderstand product requirements and business objectives\nRecommend practical technical approaches\nBuild prototypes quickly\nTurn successful prototypes into production features\nShip frequently\nGather feedback\nRefine functionality based on actual usage\nBalance speed with long-term maintainability\nYou should be comfortable operating where product requirements evolve and engineers are expected to contribute to how a problem should be solved, not simply execute tickets.\nDebugging, Performance & Reliability\nOwn product quality after features are shipped.\nYou’ll:\nDiagnose and resolve bugs\nMonitor system behavior\nImprove application performance\nIdentify technical bottlenecks\nStrengthen system reliability\nImprove user experience based on production issues\nReduce technical debt as the platform matures\nRequired Experience & Skills\nNon-Negotiables\nStrong full-stack engineering experience across frontend and backend development\nProven experience building and shipping production-level products\nHands-on experience integrating AI/LLMs into real applications\nStrong understanding of:\nSystem architecture\nAPI design\nData structures\nApplication performance\nExperience with Supabase or similar backend platforms\nUnderstanding of practical AI limitations, including:\nHallucinations\nFailure states\nEdge cases\nOutput validation\nStrong knowledge of security best practices, including:\nAuthentication\nPermissions\nData protection\nStrong debugging and problem-solving ability\nAbility to work independently and take end-to-end ownership of product development\nNice to Have\nExperience building AI agents\nExperience designing AI automation workflows\nFamiliarity with Claude or similar LLMs in production\nExperience building:\nSaaS products\nOperational platforms\nWorkflow applications\nExperience taking products from MVP to production\nExperience scaling applications after initial launch\nExposure to:\nAviation\nLogistics\nMembership systems\nWhat Makes You a Strong Fit\nYou:\nAre a builder, not just a feature contributor\nCan take an idea and independently turn it into working software\nThink across frontend, backend, data, AI, security, and infrastructure\nHave shipped real products that users depend on\nUnderstand that production AI requires more than calling an LLM API\nDesign around AI failure modes rather than assuming outputs will always be correct\nMove quickly while maintaining strong engineering standards\nDebug problems independently\nMake thoughtful architecture decisions without overengineering\nEnjoy working directly with leadership and translating business ideas into products\nTake ownership from initial concept through production performance\nWhat a Typical Day Looks Like\nYour day may include:\nBuilding a new frontend product experience\nDesigning backend logic and database structures\nIntegrating an LLM into a product workflow\nImproving prompts, validation, or AI guardrails\nBuilding APIs connecting product components\nConfiguring authentication and permissions\nDebugging an issue discovered in production\nReviewing system performance and reliability\nDiscussing a new product idea with leadership\nRapidly prototyping a solution\nShipping a feature and monitoring how users interact with it\nImproving architecture as product usage grows\nIn short: you own the engineering behind an AI-powered product from idea to production and continuously make it faster, smarter, safer, and more scalable.\nKey Metrics for Success\nSuccessful launch of a production-ready application\nSpeed and consistency of feature delivery\nSystem stability and reliability\nApplication performance\nQuality and usefulness of AI integrations\nEffective handling of AI errors and edge cases\nReduction in bugs and recurring production issues\nScalability of application architecture\nMaintainability and quality of the codebase\nAbility to iterate rapidly based on real product feedback\nWhy This Role Stands Out\nBuild an AI-powered product from the ground up\nEnd-to-end ownership across the full technology stack\nDirect involvement in product and architecture decisions\nHands-on exposure to production LLM systems\nOpportunity to build AI workflows and agents around real-world use cases\nWork directly with leadership\nHigh autonomy and execution ownership\nOpportunity to take a product from MVP through production and scale\nFully remote environment\nInterview Process\nInitial Screening Call\nTechnical & Systems Design Interview\nPractical Task - Product Build / AI Integration Scenario\nFinal Interview\nInternal Review & Approval\nOffer & Onboarding\nApply Now\nIf you:\nAre a strong full-stack engineer\nHave built and shipped real production products\nHave hands-on experience integrating LLMs into applications\nUnderstand AI hallucinations, edge cases, and guardrails\nCan independently own frontend, backend, APIs, and infrastructure\nEnjoy building products from zero rather than simply maintaining existing systems\nWe’d love to hear from you.\nImportant: Spark Hire Video Interview\nAs part of our application process, qualified candidates will be invited to complete a one-way video interview through Spark Hire.\nThis is your opportunity to introduce yourself and highlight your experience with full-stack product development, production AI/LLM integrations, system architecture, APIs, Supabase or similar backend platforms, security, and product ownership.\nWe recommend discussing a product you have personally built and shipped, including your specific technical contribution, the architecture you chose, how AI was integrated, how you handled hallucinations or failure states, and how you took the system from initial development into production.\nPlease complete your Spark Hire interview promptly after receiving the invitation. Candidates who do not complete the video interview may not move forward in the hiring process.\n#AIProductEngineer #FullStackEngineer #AIEngineer #SoftwareEngineer #FullStackDeveloper #LLM #GenerativeAI #ClaudeAI #Supabase #SaaS #AIApplications #ProductEngineering #RemoteDeveloper #RemoteJobs #TechJobs #LI-AG1","description_format":"text","description_chars":9571,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Pakistan","iso":"PK","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Recruiting & Staffing","Employer of Record & PEO"],"lifecycle":[{"event":"open","at":"2026-08-13T00:00:00Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.349,"p_room":0.28,"age_days":65,"expected_fill_days":30,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/pavago-ai-product-engineer-full-stack","json_url":"https://alion.io/job/pavago-ai-product-engineer-full-stack.json","meta":{"generated_at":"2026-10-17T08:03:04Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":10887,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1117},"rest":"https://alion.io/mcp/rest/get_company?id=1117"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpavago-ai-product-engineer-full-stack"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpavago-ai-product-engineer-full-stack"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpavago-ai-product-engineer-full-stack"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/pavago-ai-product-engineer-full-stack\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpavago-ai-product-engineer-full-stack"}]}