{"schemaVersion":"jobsearcher.job.v1","id":"309419defd034e6419aa5030","url":"https://jobsearcher.com/jobs/309419defd034e6419aa5030","canonicalUrl":"https://jobsearcher.com/jobs/309419defd034e6419aa5030","title":"Mechro Founding Applied AI Engineer","description":"Compensation: $165,000 - $190,000 / year\r\nDepartment: Gitwit\r\nLocation: Tulsa, OK\r\nBuild the AI Troubleshooting Engine That Powers the Future of Heavy Machinery.\r\nWe're not hiring just another engineer. We're hiring the founding, forward-deployed engineer who will bring Mechro's AI troubleshooting platform to life by owning customer outcomes end-to-end, from first discovery workshop to production rollout. You'll work directly with machinery manufacturers (and their distributors/service teams) to turn messy, real-world troubleshooting into a continuously improving AI system. The technical partner who owns the zero-to-one build, shapes the product with real customers, and helps define the intelligence layer for the entire heavy-equipment ecosystem.\r\nMechro is a new AI-native venture built inside Gitwit's venture studio, designed in partnership with leading machinery manufacturers. Our mission is bold and simple: Turn frontline troubleshooting into a continuous learning system that makes machines smarter, support teams faster, and field operators more confident.\r\nThis role is for the engineer who wants to build something that actually gets used on job sites, in service bays, and in the hands of technicians diagnosing real machines every day.\r\nWhat Mechro Is Building\r\nEvery machine manufacturer is dealing with the same pain\r\nSupport lines overwhelmed with repetitive questions\r\nTribal knowledge disappearing as senior techs retire\r\nField intelligence scattered across notebooks, calls, and emails\r\nManuals that can't keep up with the real world\r\nMechro changes that.\r\nWe're building an AI troubleshooting assistant that becomes the first line of diagnosis for distributors, support techs, and field operators. Not a chatbot bolted onto a PDF, but a full-stack system that ingests manuals, logs, historical service data, field notes, and escalations to create a living, continually improving knowledge base.\r\nEvery interaction makes the next one better.\r\nEvery fix makes the manufacturer smarter.\r\nThis is the future of support for heavy machinery, and you'll be the one building it.\r\nYour Impact as the Founding Applied AI Engineer\r\nThe Role\r\nThis is a delivery-first engineering role that will position you as the technical cornerstone of Mechro. You'll be embedded with customers to understand workflows, define success, integrate their systems/data, and ship working solutions into production. Then you'll bring what you learn back into the core platform so each deployment makes the product stronger and more repeatable.\r\nThis role is perfect for someone who\r\nThrives in zero-to-one environments\r\nShips fast and cares deeply about product usefulness\r\nWants to build with real users and see immediate impact\r\nEnjoys owning AI systems end-to-end\r\nLikes wearing multiple hats and setting the tone for future engineers\r\nHow you'll spend your time\r\n50–70% forward-deployed delivery\r\nDiscovery, integration, implementation, go-live, iteration\r\n30–50% platform/product engineering\r\nCore architecture, reliability, AI evaluation + monitoring\r\nYour time focus will flex with customer onboarding cycles.\r\nAreas of responsibility\r\nYou'll own the architecture, help drive decisions about what gets built and why.\r\nLead full-stack development using React + TypeScript, Node/NestJS, and Postgres/MongoDB.\r\nBuild the AI layer LLM integrations, retrieval, embeddings, evaluation loops.\r\nStabilize and scale the MVP into a production-ready troubleshooting assistant.\r\nRun technical customer integrations, including scoping, implementation calls, and on-site visits.\r\nImplement reliability systems monitoring, alerting, runbooks, incident response.\r\nEstablish early engineering culture, onboarding docs, architecture patterns, and delivery cadence.\r\nTranslate user problems into product decisions that shape the roadmap.\r\nTravel & working model\r\nHybrid, in Tulsa. Due to the nature of this role, working in person with your team and your customers is critical to success.\r\n75% in-office. Relocation supported.\r\n25% travel to customer sites. Concentrated around discovery sprints and releases.\r\nWhat You Bring\r\n5+ years full-stack engineering experience with shipped, user-facing products\r\nStrong experience with React + TypeScript, Node/NestJS, and SQL/NoSQL databases\r\nPractical experience integrating LLMs/AI APIs into real applications\r\nZero-to-one ownership stories that show grit, ambiguity navigation, and user impact\r\nExperience running B2B/enterprise customer integrations\r\nComfort balancing speed with reliability in early-stage systems\r\nExcellent written and verbal communication\r\nStrong \"delivery energy\". You like owning outcomes in the real world, not just writing elegant code.\r\nExtra Awesome\r\nExperience with RAG systems, vector databases, or ML evaluation pipelines\r\nFamiliarity with SOC2-style security practices\r\nPrior startup or founding engineer experience\r\nStrong product sense and the ability to simplify complex workflows\r\nCompensation & Benefits\r\nBase Salary: $165,000–$190,000\r\nFounder-level equity\r\nRelocation support\r\nExcellent health, vision, and dental\r\n401(k) with match\r\nGenerous PTO\r\nCell reimbursement, parking stipend\r\nWeekly team lunches\r\nDog-friendly office\r\nFlexible, high-autonomy culture\r\nWhy This Role Matters\r\nMachine manufacturers who move first will own the intelligence layer of their industry. The knowledge base you build, the one that captures decades of field wisdom, becomes their moat.\r\nThis is a chance to\r\nBuild a category-defining AI product\r\nShape engineering direction from day one\r\nWork directly with field techs, operators, and engineering teams\r\nTurn real-world troubleshooting into data that transforms how machines are serviced\r\nHelp Mechro become the standard for AI-powered support across an entire sector\r\nYou won't just contribute to value. You'll create it.\r\nHow to Apply\r\nNo cover letter. Just better questions.\r\nPlease apply with\r\nA short pitch (2–3 sentences about yourself)\r\nAnswers to these prompts\r\nWhat's the last technology or tool you learned that fundamentally changed how you build software?\r\nDescribe the last feature or product you shipped that reached real users. Why did it matter?\r\nWe read every application carefully. Concrete examples > buzzwords.\r\nIf you want to build something users will touch every day, something that powers real machines in the real world, we'd love to talk.\r\nJ-18808-Ljbffr","company":"Gitwit Creative","rawCompany":"gitwit creative","city":"Tulsa","state":"OK","isRemote":false,"isActive":false,"createdAt":"2026-04-22T04:45:59.055Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Mechro Founding Applied AI Engineer","description":"Compensation: $165,000 - $190,000 / year\r\nDepartment: Gitwit\r\nLocation: Tulsa, OK\r\nBuild the AI Troubleshooting Engine That Powers the Future of Heavy Machinery.\r\nWe're not hiring just another engineer. We're hiring the founding, forward-deployed engineer who will bring Mechro's AI troubleshooting platform to life by owning customer outcomes end-to-end, from first discovery workshop to production rollout. You'll work directly with machinery manufacturers (and their distributors/service teams) to turn messy, real-world troubleshooting into a continuously improving AI system. The technical partner who owns the zero-to-one build, shapes the product with real customers, and helps define the intelligence layer for the entire heavy-equipment ecosystem.\r\nMechro is a new AI-native venture built inside Gitwit's venture studio, designed in partnership with leading machinery manufacturers. Our mission is bold and simple: Turn frontline troubleshooting into a continuous learning system that makes machines smarter, support teams faster, and field operators more confident.\r\nThis role is for the engineer who wants to build something that actually gets used on job sites, in service bays, and in the hands of technicians diagnosing real machines every day.\r\nWhat Mechro Is Building\r\nEvery machine manufacturer is dealing with the same pain\r\nSupport lines overwhelmed with repetitive questions\r\nTribal knowledge disappearing as senior techs retire\r\nField intelligence scattered across notebooks, calls, and emails\r\nManuals that can't keep up with the real world\r\nMechro changes that.\r\nWe're building an AI troubleshooting assistant that becomes the first line of diagnosis for distributors, support techs, and field operators. Not a chatbot bolted onto a PDF, but a full-stack system that ingests manuals, logs, historical service data, field notes, and escalations to create a living, continually improving knowledge base.\r\nEvery interaction makes the next one better.\r\nEvery fix makes the manufacturer smarter.\r\nThis is the future of support for heavy machinery, and you'll be the one building it.\r\nYour Impact as the Founding Applied AI Engineer\r\nThe Role\r\nThis is a delivery-first engineering role that will position you as the technical cornerstone of Mechro. You'll be embedded with customers to understand workflows, define success, integrate their systems/data, and ship working solutions into production. Then you'll bring what you learn back into the core platform so each deployment makes the product stronger and more repeatable.\r\nThis role is perfect for someone who\r\nThrives in zero-to-one environments\r\nShips fast and cares deeply about product usefulness\r\nWants to build with real users and see immediate impact\r\nEnjoys owning AI systems end-to-end\r\nLikes wearing multiple hats and setting the tone for future engineers\r\nHow you'll spend your time\r\n50–70% forward-deployed delivery\r\nDiscovery, integration, implementation, go-live, iteration\r\n30–50% platform/product engineering\r\nCore architecture, reliability, AI evaluation + monitoring\r\nYour time focus will flex with customer onboarding cycles.\r\nAreas of responsibility\r\nYou'll own the architecture, help drive decisions about what gets built and why.\r\nLead full-stack development using React + TypeScript, Node/NestJS, and Postgres/MongoDB.\r\nBuild the AI layer LLM integrations, retrieval, embeddings, evaluation loops.\r\nStabilize and scale the MVP into a production-ready troubleshooting assistant.\r\nRun technical customer integrations, including scoping, implementation calls, and on-site visits.\r\nImplement reliability systems monitoring, alerting, runbooks, incident response.\r\nEstablish early engineering culture, onboarding docs, architecture patterns, and delivery cadence.\r\nTranslate user problems into product decisions that shape the roadmap.\r\nTravel & working model\r\nHybrid, in Tulsa. Due to the nature of this role, working in person with your team and your customers is critical to success.\r\n75% in-office. Relocation supported.\r\n25% travel to customer sites. Concentrated around discovery sprints and releases.\r\nWhat You Bring\r\n5+ years full-stack engineering experience with shipped, user-facing products\r\nStrong experience with React + TypeScript, Node/NestJS, and SQL/NoSQL databases\r\nPractical experience integrating LLMs/AI APIs into real applications\r\nZero-to-one ownership stories that show grit, ambiguity navigation, and user impact\r\nExperience running B2B/enterprise customer integrations\r\nComfort balancing speed with reliability in early-stage systems\r\nExcellent written and verbal communication\r\nStrong \"delivery energy\". You like owning outcomes in the real world, not just writing elegant code.\r\nExtra Awesome\r\nExperience with RAG systems, vector databases, or ML evaluation pipelines\r\nFamiliarity with SOC2-style security practices\r\nPrior startup or founding engineer experience\r\nStrong product sense and the ability to simplify complex workflows\r\nCompensation & Benefits\r\nBase Salary: $165,000–$190,000\r\nFounder-level equity\r\nRelocation support\r\nExcellent health, vision, and dental\r\n401(k) with match\r\nGenerous PTO\r\nCell reimbursement, parking stipend\r\nWeekly team lunches\r\nDog-friendly office\r\nFlexible, high-autonomy culture\r\nWhy This Role Matters\r\nMachine manufacturers who move first will own the intelligence layer of their industry. The knowledge base you build, the one that captures decades of field wisdom, becomes their moat.\r\nThis is a chance to\r\nBuild a category-defining AI product\r\nShape engineering direction from day one\r\nWork directly with field techs, operators, and engineering teams\r\nTurn real-world troubleshooting into data that transforms how machines are serviced\r\nHelp Mechro become the standard for AI-powered support across an entire sector\r\nYou won't just contribute to value. You'll create it.\r\nHow to Apply\r\nNo cover letter. Just better questions.\r\nPlease apply with\r\nA short pitch (2–3 sentences about yourself)\r\nAnswers to these prompts\r\nWhat's the last technology or tool you learned that fundamentally changed how you build software?\r\nDescribe the last feature or product you shipped that reached real users. Why did it matter?\r\nWe read every application carefully. Concrete examples > buzzwords.\r\nIf you want to build something users will touch every day, something that powers real machines in the real world, we'd love to talk.\r\nJ-18808-Ljbffr","datePosted":"2026-04-22T04:45:59.055Z","dateModified":"2026-04-22T04:45:59.055Z","hiringOrganization":{"@type":"Organization","name":"Gitwit Creative","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tulsa","addressRegion":"OK","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"309419defd034e6419aa5030"},"url":"https://jobsearcher.com/jobs/309419defd034e6419aa5030"}}