bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesGitwitFounding AI Systems Engineer, Yask

Founding AI Systems Engineer, Yask

Gitwit · Bentonville, AR, Bentonville, Arkansas · On Site · Active · $170,000–$195,000 / year · Pinpoint

Job facts

FieldValue
CompanyGitwit
TitleFounding AI Systems Engineer, Yask
Normalized title-
Department / teamGitwit
LocationBentonville, AR, United States
Work modelOn Site
Employment typeFull Time
Salary$170,000–$195,000 / year
Statusactive
ATS providerPinpoint
Posted / first seen / 2026-06-04
Changed / last seen2026-06-04 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Gitwit.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Pinpoint.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Bentonville.Open
Department jobsActive postings in Gitwit.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyGitwit
Sourceab711725-eefa-471a-b8cb-230605696d5b
ATS providerPinpoint

Description

Build the Adaptive Intelligence Behind Physical Operations Physical 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 Wedge We 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. Most 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 happens See where execution breaks Design agentic systems, memory layers, and feedback loops that make that work easier Ship quickly, measure impact, and make the system sharper from real usage You will be the engineer who turns a promising AI prototype into a production-ready, adaptive, agent-native platform. What You’ll Actually Need to Do This 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 architecture Design and implement agent orchestration patterns, memory/context layers, and retrieval pipelines for production use Build the feedback loops that let the system learn from user corrections and field signals Ship production-grade services: APIs, data pipelines, CI/CD, observability, and security fundamentals Instrument telemetry so we can see usage quality, drift, task success, and system performance Run fast experiments tied to real user behavior and measurable improvement Document architecture decisions and create onboarding artifacts for future engineers Work in-person with product, research, leadership, and customers to ground technical choices in field reality If 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 Here This 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 production You understand memory, context engineering, and RAG from experience, not theory You’ve taken a system from prototype to production before You are comfortable making pragmatic trade-offs to ship and learn quickly You like working directly with product, researchers, and users in person You enjoy ambiguity when it’s paired with real ownership You want to be a founding engineer, not a ticket-taker You see Bentonville as a strategic advantage, not a compromise This role is LESS likely to fit someone who prefers remote-first work, highly structured environments, or narrowly scoped engineering tasks. This 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. Compensation Base salary: $170,000–$195,000 (flexible for exceptional candidates) Founding-team-level equity Relocation support Benefits Health, dental, and vision 401(k) with match Generous PTO Cell reimbursement, parking stipend Weekly team lunches Dog-friendly office Flexible, high-autonomy culture This 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 Yask Yask 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 Apply No 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.

Full job record

Job ID0cdfd74b568bdd2d8a848bf207643519c75023ab
Org ID02cf4ebf-a1a2-43ae-ae33-9c44f5d9b562
Source IDab711725-eefa-471a-b8cb-230605696d5b
Board IDab711725-eefa-471a-b8cb-230605696d5b
Providerpinpoint
Provider Job Key520909
TitleFounding AI Systems Engineer, Yask
Normalized Title
Statusactive
Activeyes
Location TextBentonville, AR, Bentonville, Arkansas
DepartmentGitwit
Team
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionAR
CityBentonville
Salary Raw$170,000 - $195,000 / year
Salary Min170,000
Salary Max195,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://gitwit.pinpointhq.com/en/postings/a2e34362-9556-4b6d-ab4e-c2e376c28c11
Apply URLhttps://gitwit.pinpointhq.com/en/postings/a2e34362-9556-4b6d-ab4e-c2e376c28c11
First Seen At2026-06-04 07:41:24Z
Last Seen At2026-06-06 11:08:07Z
Last Checked At2026-06-06 11:08:07Z
Last Changed At2026-06-04 07:41:24Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=pinpoint/board=gitwit/date=2026-06-06/2026-06-06T11-08-07-043Z-d984d51f8b1bab0771aa8e1173483cc69eca296a5b23a5cda6eef21e4155c0a4.json
Event Fields
{
  "content_hash": "de09db55f5a39a004f936887e2e2980adf87343c9c3bb763a511fb93a07f20ed",
  "source_hash": "2a931d829e109a7735e428771995339002a7f80f302f32ef62bfb1bf5ea334d9",
  "last_changed_at": "2026-06-04T07:41:24.945Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Bentonville, AR, Bentonville, Arkansas",
    "city": "Bentonville",
    "region": "AR",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
  },
  "salary_max": 195000,
  "salary_min": 170000,
  "inferred_at": "2026-06-06T11:08:07.645Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Bentonville, AR, Bentonville, Arkansas",
      "city": "Bentonville",
      "region": "AR",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": "year",
  "workplace_type": "on_site",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "id": "520909",
  "job": {
    "id": "526799",
    "division": null,
    "department": {
      "id": "51658",
      "name": "Gitwit"
    },
    "requisition_id": "",
    "structure_custom_group_one": null
  },
  "url": "https://gitwit.pinpointhq.com/en/postings/a2e34362-9556-4b6d-ab4e-c2e376c28c11",
  "path": "/en/postings/a2e34362-9556-4b6d-ab4e-c2e376c28c11",
  "title": "Founding AI Systems Engineer, Yask",
  "benefits": "<div><!--block-->This is a full-time, in-person role based in <strong>Bentonville</strong>.</div><div><!--block--><br>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.<br><br></div><div><!--block-->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.<br><br></div><h2><!--block-->About Yask</h2><div><!--block-->Yask is being built out of Gitwit, a venture studio that creates AI-native companies through deep field research, customer access, and early proof.<br><br></div><div><!--block-->We don’t start with ideas.</div><div><!--block--><br>We start with access to real workflows and urgent problems, then build companies that earn traction from day one.<br><br></div><div><!--block-->Yask is one of those companies.<br><br></div><h2><!--block--><strong>How to Apply</strong></h2><div><!--block-->No cover letter. No generic note.</div><div><!--block--><strong><br>This is the Builder’s Application. We think it does a much better job of highlighting your unique capabilities and qualities than a resume.<br></strong><br></div><div><!--block-->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.</div><div><!--block--><br></div><div><!--block-->Click \"Apply Now\" to dive in.</div>",
  "location": {
    "id": "83151",
    "city": "Bentonville",
    "name": "Bentonville, AR",
    "province": "Arkansas",
    "postal_code": ""
  },
  "deadline_at": null,
  "description": "<div><!--block--><strong>Build the Adaptive Intelligence Behind Physical Operations<br></strong><br></div><div><!--block-->Physical operations are where inventory moves, shifts change, timing matters, and small misses quietly become expensive problems.</div><div><!--block--><br>Stores. Warehouses. Routes. Facilities. The places where execution actually happens.<br><br></div><div><!--block-->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.<br><br></div><div><!--block-->Yask exists to close that gap.</div><div><!--block--><br>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.<br><br></div><div><!--block-->That requires more than prompts and dashboards.<br><br></div><div><!--block-->It requires an adaptive system that can learn from messy real-world signals, remember context, orchestrate decisions, and improve from feedback over time.<br><br></div><div><!--block-->That is the system you would build.<br><br></div><h2><!--block-->The Initial Wedge</h2><div><!--block-->We are starting in retail and distribution, where this problem is easy to see.<br><br></div><div><!--block-->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.<br><br></div><div><!--block-->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.<br><br></div><div><!--block-->You won’t be building in a lab.</div><div><!--block--><br>You’ll be building against real workflows, real users, and real operational pressure from day one.</div>",
  "compensation": "$170,000 - $195,000 / year",
  "reporting_to": "",
  "workplace_type": "onsite",
  "benefits_header": "Location and Work Style",
  "employment_type": "full_time",
  "workplace_type_text": "Onsite",
  "compensation_maximum": 195000,
  "compensation_minimum": 170000,
  "compensation_visible": true,
  "employment_type_text": "Full Time",
  "key_responsibilities": "<div><!--block-->Most AI engineering roles start with abstract use cases and synthetic data.</div><div><!--block--><br>Yask starts with operating access.<br><br></div><div><!--block-->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.</div><div><!--block--><br>This is not a role where you optimize prompts in isolation.</div><div><!--block--><br>This is a role where you:</div><ul><li><!--block-->Watch how work actually happens</li><li><!--block-->See where execution breaks</li><li><!--block-->Design agentic systems, memory layers, and feedback loops that make that work easier</li><li><!--block-->Ship quickly, measure impact, and make the system sharper from real usage</li></ul><div><!--block-->You will be the engineer who turns a promising AI prototype into a production-ready, adaptive, agent-native platform.<br><br></div><h2><!--block-->What You’ll Actually Need to Do</h2><div><!--block-->This is a founding, hands-on role. In practice, that means:</div><ul><li><!--block-->Audit the existing prototype and decide what to keep, what to rewrite, and how to turn it into an MVP architecture</li><li><!--block-->Design and implement agent orchestration patterns, memory/context layers, and retrieval pipelines for production use</li><li><!--block-->Build the feedback loops that let the system learn from user corrections and field signals</li><li><!--block-->Ship production-grade services: APIs, data pipelines, CI/CD, observability, and security fundamentals</li><li><!--block-->Instrument telemetry so we can see usage quality, drift, task success, and system performance</li><li><!--block-->Run fast experiments tied to real user behavior and measurable improvement</li><li><!--block-->Document architecture decisions and create onboarding artifacts for future engineers</li><li><!--block-->Work in-person with product, research, leadership, and customers to ground technical choices in field reality</li></ul><div><!--block--><br>If this role is going well, the signs will be visible:</div><div><!--block--><br>The product will be live inside the design partner’s operation.<br><br></div><div><!--block-->The system will be getting smarter from usage.</div><div><!--block--><br>The next customers will be easier to win because the proof is concrete.<br><br></div><h2><!--block-->Who Thrives Here</h2><div><!--block-->This role fits engineers who like being close to the work while it is still unsettled.</div><div><!--block--><br>People who recognize themselves in several of these:</div><ul><li><!--block-->You have built and shipped agentic or LLM-driven systems in production</li><li><!--block-->You understand memory, context engineering, and RAG from experience, not theory</li><li><!--block-->You’ve taken a system from prototype to production before</li><li><!--block-->You are comfortable making pragmatic trade-offs to ship and learn quickly</li><li><!--block-->You like working directly with product, researchers, and users in person</li><li><!--block-->You enjoy ambiguity when it’s paired with real ownership</li><li><!--block-->You want to be a founding engineer, not a ticket-taker</li><li><!--block-->You see Bentonville as a strategic advantage, not a compromise</li></ul><div><!--block-->This role is LESS likely to fit someone who prefers remote-first work, highly structured environments, or narrowly scoped engineering tasks.</div>",
  "compensation_currency": "USD",
  "compensation_frequency": "year",
  "skills_knowledge_expertise": "<div><!--block-->This role comes with what strong founding engineers should expect: meaningful ownership, competitive compensation, and the chance to build something real from the beginning.<br><br></div><div><!--block-->More importantly, it offers the seat itself:<br><br></div><div><!--block-->You get to design the adaptive core of a system that learns from the real world and becomes smarter over time.<br><br></div><div><!--block--><strong>Compensation</strong></div><ul><li><!--block-->Base salary: $170,000–$195,000 (flexible for exceptional candidates)</li><li><!--block-->Founding-team-level equity</li><li><!--block-->Relocation support</li></ul><div><!--block--><strong><br>Benefits</strong></div><ul><li><!--block-->Health, dental, and vision</li><li><!--block-->401(k) with match</li><li><!--block-->Generous PTO</li><li><!--block-->Cell reimbursement, parking stipend</li><li><!--block-->Weekly team lunches</li><li><!--block-->Dog-friendly office</li><li><!--block-->Flexible, high-autonomy culture</li></ul>",
  "key_responsibilities_header": "Why This Is a Rare Challenge for a Great Engineer",
  "skills_knowledge_expertise_header": "What We Offer"
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/0cdfd74b568bdd2d8a848bf207643519c75023ab?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/02cf4ebf-a1a2-43ae-ae33-9c44f5d9b562JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/ab711725-eefa-471a-b8cb-230605696d5bJSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/0cdfd74b568bdd2d8a848bf207643519c75023ab/eventsJSON