{"schemaVersion":"jobsearcher.job.v1","id":"1fbf23b7a60ee8f09e25f0fc","url":"https://jobsearcher.com/jobs/1fbf23b7a60ee8f09e25f0fc","canonicalUrl":"https://jobsearcher.com/jobs/1fbf23b7a60ee8f09e25f0fc","title":"Founding AI Systems Engineer, Yask","description":"Department: GitwitLocation: Bentonville, ARCompensation: $170,000 - $195,000 / yearDescriptionBuild the Adaptive Intelligence Behind Physical OperationsPhysical operations are where inventory moves, shifts change, timing matters, and small misses quietly become expensive problems.Stores. Warehouses. Routes. Facilities. The places where execution actually happens.What makes these environments hard to run well is not a lack of data or effort. It’s that what matters changes constantly, responsibility passes across people and shifts, and follow-through gets lost between what someone noticed and what someone else was supposed to do.Yask exists to close that gap.We’re building an AI system that turns what people observe in the field and what gets buried in business data into the right next action, in the right place, in the right hands, at the right time, and then verifies it got done.That requires more than prompts and dashboards.It requires an adaptive system that can learn from messy real-world signals, remember context, orchestrate decisions, and improve from feedback over time.That is the system you would build.The Initial WedgeWe are starting in retail and distribution, where this problem is easy to see.Out-of-stocks alone are an $80B+ annual issue in the US. But the bigger problem is that displays get missed, product doesn’t get rotated, follow-through dies in text threads, and store-level issues stay buried in fragmented communication until they become costly.We already have a live design partner operating across nine locations in Oklahoma, Arkansas, and Texas. We are not guessing where work breaks. We can see it.You won’t be building in a lab.You’ll be building against real workflows, real users, and real operational pressure from day one.Why This Is a Rare Challenge for a Great EngineerMost AI engineering roles start with abstract use cases and synthetic data.Yask starts with operating access.The retailers, brands, distributors, buyers, and merchandisers whose decisions impact more physical locations than anywhere else in the world, within 30 miles of Bentonville. You will be right in the thick of it.This is not a role where you optimize prompts in isolation.This is a role where you:Watch how work actually happensSee where execution breaksDesign agentic systems, memory layers, and feedback loops that make that work easierShip quickly, measure impact, and make the system sharper from real usageYou will be the engineer who turns a promising AI prototype into a production-ready, adaptive, agent-native platform.What You’ll Actually Need to DoThis is a founding, hands-on role. In practice, that means:Audit the existing prototype and decide what to keep, what to rewrite, and how to turn it into an MVP architectureDesign and implement agent orchestration patterns, memory/context layers, and retrieval pipelines for production useBuild the feedback loops that let the system learn from user corrections and field signalsShip production-grade services: APIs, data pipelines, CI/CD, observability, and security fundamentalsInstrument telemetry so we can see usage quality, drift, task success, and system performanceRun fast experiments tied to real user behavior and measurable improvementDocument architecture decisions and create onboarding artifacts for future engineersWork in-person with product, research, leadership, and customers to ground technical choices in field realityIf this role is going well, the signs will be visible:The product will be live inside the design partner’s operation.The system will be getting smarter from usage.The next customers will be easier to win because the proof is concrete.Who Thrives HereThis role fits engineers who like being close to the work while it is still unsettled.People who recognize themselves in several of these:You have built and shipped agentic or LLM-driven systems in productionYou understand memory, context engineering, and RAG from experience, not theoryYou’ve taken a system from prototype to production beforeYou are comfortable making pragmatic trade-offs to ship and learn quicklyYou like working directly with product, researchers, and users in personYou enjoy ambiguity when it’s paired with real ownershipYou want to be a founding engineer, not a ticket-takerYou see Bentonville as a strategic advantage, not a compromiseThis role is LESS likely to fit someone who prefers remote-first work, highly structured environments, or narrowly scoped engineering tasks.What We OfferThis role comes with what strong founding engineers should expect: meaningful ownership, competitive compensation, and the chance to build something real from the beginning.More importantly, it offers the seat itself:You get to design the adaptive core of a system that learns from the real world and becomes smarter over time.CompensationBase salary: $170,000–$195,000 (flexible for exceptional candidates)Founding-team-level equityRelocation supportBenefitsHealth, dental, and vision401(k) with matchGenerous PTOCell reimbursement, parking stipendWeekly team lunchesDog-friendly officeFlexible, high-autonomy cultureLocation and Work StyleThis is a full-time, in-person role based in Bentonville.We are open to exceptional candidates who would relocate, but this is not a remote or hybrid role. The work requires proximity to customers, product decisions, and the founding team.If you’ve been looking for a role where you can apply cutting-edge AI work to messy, real-world execution problems and see the impact of what you build almost immediately, this is that role.About YaskYask is being built out of Gitwit, a venture studio that creates AI-native companies through deep field research, customer access, and early proof.We don’t start with ideas.We start with access to real workflows and urgent problems, then build companies that earn traction from day one.Yask is one of those companies.How to ApplyNo cover letter. No generic note.This is the Builder’s Application. We think it does a much better job of highlighting your unique capabilities and qualities than a resume.Don’t spend time on polish. Raw, conversational, deeper narrative will give us a better signal of how great you are than a fancy deck. Notes, word doc, markdown file, notion, video - whatever works for you.Click \"Apply Now\" to dive in.","company":"Gitwit","rawCompany":"gitwit","city":"Bentonville","state":"AR","isRemote":false,"isActive":false,"createdAt":"2026-06-05T11:05:06.037Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Founding AI Systems Engineer, Yask","description":"Department: GitwitLocation: Bentonville, ARCompensation: $170,000 - $195,000 / yearDescriptionBuild the Adaptive Intelligence Behind Physical OperationsPhysical operations are where inventory moves, shifts change, timing matters, and small misses quietly become expensive problems.Stores. Warehouses. Routes. Facilities. The places where execution actually happens.What makes these environments hard to run well is not a lack of data or effort. It’s that what matters changes constantly, responsibility passes across people and shifts, and follow-through gets lost between what someone noticed and what someone else was supposed to do.Yask exists to close that gap.We’re building an AI system that turns what people observe in the field and what gets buried in business data into the right next action, in the right place, in the right hands, at the right time, and then verifies it got done.That requires more than prompts and dashboards.It requires an adaptive system that can learn from messy real-world signals, remember context, orchestrate decisions, and improve from feedback over time.That is the system you would build.The Initial WedgeWe are starting in retail and distribution, where this problem is easy to see.Out-of-stocks alone are an $80B+ annual issue in the US. But the bigger problem is that displays get missed, product doesn’t get rotated, follow-through dies in text threads, and store-level issues stay buried in fragmented communication until they become costly.We already have a live design partner operating across nine locations in Oklahoma, Arkansas, and Texas. We are not guessing where work breaks. We can see it.You won’t be building in a lab.You’ll be building against real workflows, real users, and real operational pressure from day one.Why This Is a Rare Challenge for a Great EngineerMost AI engineering roles start with abstract use cases and synthetic data.Yask starts with operating access.The retailers, brands, distributors, buyers, and merchandisers whose decisions impact more physical locations than anywhere else in the world, within 30 miles of Bentonville. You will be right in the thick of it.This is not a role where you optimize prompts in isolation.This is a role where you:Watch how work actually happensSee where execution breaksDesign agentic systems, memory layers, and feedback loops that make that work easierShip quickly, measure impact, and make the system sharper from real usageYou will be the engineer who turns a promising AI prototype into a production-ready, adaptive, agent-native platform.What You’ll Actually Need to DoThis is a founding, hands-on role. In practice, that means:Audit the existing prototype and decide what to keep, what to rewrite, and how to turn it into an MVP architectureDesign and implement agent orchestration patterns, memory/context layers, and retrieval pipelines for production useBuild the feedback loops that let the system learn from user corrections and field signalsShip production-grade services: APIs, data pipelines, CI/CD, observability, and security fundamentalsInstrument telemetry so we can see usage quality, drift, task success, and system performanceRun fast experiments tied to real user behavior and measurable improvementDocument architecture decisions and create onboarding artifacts for future engineersWork in-person with product, research, leadership, and customers to ground technical choices in field realityIf this role is going well, the signs will be visible:The product will be live inside the design partner’s operation.The system will be getting smarter from usage.The next customers will be easier to win because the proof is concrete.Who Thrives HereThis role fits engineers who like being close to the work while it is still unsettled.People who recognize themselves in several of these:You have built and shipped agentic or LLM-driven systems in productionYou understand memory, context engineering, and RAG from experience, not theoryYou’ve taken a system from prototype to production beforeYou are comfortable making pragmatic trade-offs to ship and learn quicklyYou like working directly with product, researchers, and users in personYou enjoy ambiguity when it’s paired with real ownershipYou want to be a founding engineer, not a ticket-takerYou see Bentonville as a strategic advantage, not a compromiseThis role is LESS likely to fit someone who prefers remote-first work, highly structured environments, or narrowly scoped engineering tasks.What We OfferThis role comes with what strong founding engineers should expect: meaningful ownership, competitive compensation, and the chance to build something real from the beginning.More importantly, it offers the seat itself:You get to design the adaptive core of a system that learns from the real world and becomes smarter over time.CompensationBase salary: $170,000–$195,000 (flexible for exceptional candidates)Founding-team-level equityRelocation supportBenefitsHealth, dental, and vision401(k) with matchGenerous PTOCell reimbursement, parking stipendWeekly team lunchesDog-friendly officeFlexible, high-autonomy cultureLocation and Work StyleThis is a full-time, in-person role based in Bentonville.We are open to exceptional candidates who would relocate, but this is not a remote or hybrid role. The work requires proximity to customers, product decisions, and the founding team.If you’ve been looking for a role where you can apply cutting-edge AI work to messy, real-world execution problems and see the impact of what you build almost immediately, this is that role.About YaskYask is being built out of Gitwit, a venture studio that creates AI-native companies through deep field research, customer access, and early proof.We don’t start with ideas.We start with access to real workflows and urgent problems, then build companies that earn traction from day one.Yask is one of those companies.How to ApplyNo cover letter. No generic note.This is the Builder’s Application. We think it does a much better job of highlighting your unique capabilities and qualities than a resume.Don’t spend time on polish. Raw, conversational, deeper narrative will give us a better signal of how great you are than a fancy deck. Notes, word doc, markdown file, notion, video - whatever works for you.Click \"Apply Now\" to dive in.","datePosted":"2026-06-05T11:05:06.037Z","dateModified":"2026-06-05T11:05:06.037Z","hiringOrganization":{"@type":"Organization","name":"Gitwit","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bentonville","addressRegion":"AR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1fbf23b7a60ee8f09e25f0fc"},"url":"https://jobsearcher.com/jobs/1fbf23b7a60ee8f09e25f0fc"}}