AI Engineer Visa Sponsorship Jobs in Oklahoma
Oklahoma's AI engineering market is anchored by energy giants like Devon Energy and ONEOK, defense contractors near Tinker Air Force Base, and a growing tech corridor in Oklahoma City and Tulsa. Employers across these sectors actively hire AI engineers, and many have established visa sponsorship programs for qualified international candidates.
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Get Access To All JobsDepartment: Gitwit
Location: Tulsa, OK
Compensation: $165,000 - $190,000 / year
Description
Build the AI Troubleshooting Engine That Powers the Future of Heavy Machinery. We’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. Mechro 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. This 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.
What Mechro Is Building
Every machine manufacturer is dealing with the same pain:
- Support lines overwhelmed with repetitive questions
- Tribal knowledge disappearing as senior techs retire
- Field intelligence scattered across notebooks, calls, and emails
- Manuals that can’t keep up with the real world
Mechro changes that. We’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. Every interaction makes the next one better. Every fix makes the manufacturer smarter. This is the future of support for heavy machinery, and you’ll be the one building it.
Your Impact as the Founding Applied AI Engineer
The Role
This 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.
This role is perfect for someone who
- Thrives in zero-to-one environments
- Ships fast and cares deeply about product usefulness
- Wants to build with real users and see immediate impact
- Enjoys owning AI systems end-to-end
- Likes wearing multiple hats and setting the tone for future engineers
How you’ll spend your time
- 50–70% forward-deployed delivery + Discovery, integration, implementation, go-live, iteration
- 30–50% platform/product engineering + Core architecture, reliability, AI evaluation + monitoring
Your time focus will flex with customer onboarding cycles.
Areas of responsibility
- You’ll own the architecture, help drive decisions about what gets built and why.
- Lead full-stack development using React + TypeScript, Node/NestJS, and Postgres/MongoDB
- Build the AI layer LLM integrations, retrieval, embeddings, evaluation loops
- Stabilize and scale the MVP into a production-ready troubleshooting assistant
- Run technical customer integrations, including scoping, implementation calls, and on-site visits
- Implement reliability systems monitoring, alerting, runbooks, incident response
- Establish early engineering culture, onboarding docs, architecture patterns, and delivery cadence
- Translate user problems into product decisions that shape the roadmap
Travel & working model
Hybrid, in Tulsa. Due to the nature of this role, working in person with your team and your customers is critical to success.
~ 75% in-office. Relocation supported.
~ 25% travel to customer sites. Concentrated around discovery sprints and releases.
What You Bring
- 5+ years full-stack engineering experience with shipped, user-facing products
- Strong experience with React + TypeScript, Node/NestJS, and SQL/NoSQL databases
- Practical experience integrating LLMs/AI APIs into real applications
- Zero-to-one ownership stories that show grit, ambiguity navigation, and user impact
- Experience running B2B/enterprise customer integrations
- Comfort balancing speed with reliability in early-stage systems
- Excellent written and verbal communication
- Strong “delivery energy”. You like owning outcomes in the real world, not just writing elegant code.
Extra Awesome
- Experience with RAG systems, vector databases, or ML evaluation pipelines
- Familiarity with SOC2-style security practices
- Prior startup or founding engineer experience
- Strong product sense and the ability to simplify complex workflows
Compensation & Benefits
- Base Salary: $165,000–$190,000
- Founder-level equity
- Relocation support
- Excellent health, vision, and dental
- 401(k) with match
- Generous PTO
- Cell reimbursement, parking stipend
- Weekly team lunches
- Dog-friendly office
- Flexible, high-autonomy culture
Why This Role Matters
Machine 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. This is a chance to:
- Build a category-defining AI product
- Shape engineering direction from day one
- Work directly with field techs, operators, and engineering teams
- Turn real-world troubleshooting into data that transforms how machines are serviced
- Help Mechro become the standard for AI-powered support across an entire sector
You won’t just contribute to value. You’ll create it.
How to Apply
No cover letter. Just better questions. Please apply with:
- A short pitch (2–3 sentences about yourself)
- Answers to these prompts:
+ What’s the last technology or tool you learned that fundamentally changed how you build software?
+ Describe the last feature or product you shipped that reached real users. Why did it matter?
We read every application carefully. Concrete examples > buzzwords. If you want to build something users will touch every day, something that powers real machines in the real world, we’d love to talk.
Department: Gitwit
Location: Tulsa, OK
Compensation: $165,000 - $190,000 / year
Description
Build the AI Troubleshooting Engine That Powers the Future of Heavy Machinery. We’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. Mechro 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. This 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.
What Mechro Is Building
Every machine manufacturer is dealing with the same pain:
- Support lines overwhelmed with repetitive questions
- Tribal knowledge disappearing as senior techs retire
- Field intelligence scattered across notebooks, calls, and emails
- Manuals that can’t keep up with the real world
Mechro changes that. We’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. Every interaction makes the next one better. Every fix makes the manufacturer smarter. This is the future of support for heavy machinery, and you’ll be the one building it.
Your Impact as the Founding Applied AI Engineer
The Role
This 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.
This role is perfect for someone who
- Thrives in zero-to-one environments
- Ships fast and cares deeply about product usefulness
- Wants to build with real users and see immediate impact
- Enjoys owning AI systems end-to-end
- Likes wearing multiple hats and setting the tone for future engineers
How you’ll spend your time
- 50–70% forward-deployed delivery + Discovery, integration, implementation, go-live, iteration
- 30–50% platform/product engineering + Core architecture, reliability, AI evaluation + monitoring
Your time focus will flex with customer onboarding cycles.
Areas of responsibility
- You’ll own the architecture, help drive decisions about what gets built and why.
- Lead full-stack development using React + TypeScript, Node/NestJS, and Postgres/MongoDB
- Build the AI layer LLM integrations, retrieval, embeddings, evaluation loops
- Stabilize and scale the MVP into a production-ready troubleshooting assistant
- Run technical customer integrations, including scoping, implementation calls, and on-site visits
- Implement reliability systems monitoring, alerting, runbooks, incident response
- Establish early engineering culture, onboarding docs, architecture patterns, and delivery cadence
- Translate user problems into product decisions that shape the roadmap
Travel & working model
Hybrid, in Tulsa. Due to the nature of this role, working in person with your team and your customers is critical to success.
~ 75% in-office. Relocation supported.
~ 25% travel to customer sites. Concentrated around discovery sprints and releases.
What You Bring
- 5+ years full-stack engineering experience with shipped, user-facing products
- Strong experience with React + TypeScript, Node/NestJS, and SQL/NoSQL databases
- Practical experience integrating LLMs/AI APIs into real applications
- Zero-to-one ownership stories that show grit, ambiguity navigation, and user impact
- Experience running B2B/enterprise customer integrations
- Comfort balancing speed with reliability in early-stage systems
- Excellent written and verbal communication
- Strong “delivery energy”. You like owning outcomes in the real world, not just writing elegant code.
Extra Awesome
- Experience with RAG systems, vector databases, or ML evaluation pipelines
- Familiarity with SOC2-style security practices
- Prior startup or founding engineer experience
- Strong product sense and the ability to simplify complex workflows
Compensation & Benefits
- Base Salary: $165,000–$190,000
- Founder-level equity
- Relocation support
- Excellent health, vision, and dental
- 401(k) with match
- Generous PTO
- Cell reimbursement, parking stipend
- Weekly team lunches
- Dog-friendly office
- Flexible, high-autonomy culture
Why This Role Matters
Machine 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. This is a chance to:
- Build a category-defining AI product
- Shape engineering direction from day one
- Work directly with field techs, operators, and engineering teams
- Turn real-world troubleshooting into data that transforms how machines are serviced
- Help Mechro become the standard for AI-powered support across an entire sector
You won’t just contribute to value. You’ll create it.
How to Apply
No cover letter. Just better questions. Please apply with:
- A short pitch (2–3 sentences about yourself)
- Answers to these prompts:
+ What’s the last technology or tool you learned that fundamentally changed how you build software?
+ Describe the last feature or product you shipped that reached real users. Why did it matter?
We read every application carefully. Concrete examples > buzzwords. If you want to build something users will touch every day, something that powers real machines in the real world, we’d love to talk.
AI Engineer Job Roles in Oklahoma
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Search AI Engineer Jobs in OklahomaAI Engineer Jobs in Oklahoma: Frequently Asked Questions
Which companies sponsor visas for AI engineers in Oklahoma?
Several large Oklahoma employers have sponsored visas for AI and machine learning roles. Energy companies like Devon Energy and Williams Companies have filed H-1B petitions for technical positions. Defense contractors around Tinker Air Force Base and technology firms in Oklahoma City's growing tech district also appear in Department of Labor disclosure data as active H-1B sponsors for engineering and data-focused roles.
Which visa types are most common for AI engineer roles in Oklahoma?
The H-1B is the primary visa category for AI engineers in Oklahoma, as these roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, machine learning, or a related field. Candidates with Canadian or Mexican citizenship may also qualify under the TN visa. Those with extraordinary ability in AI research may explore the O-1A category.
Which cities in Oklahoma have the most AI engineer sponsorship jobs?
Oklahoma City concentrates the highest volume of AI engineering opportunities, driven by energy sector headquarters, defense-adjacent technology firms, and a maturing startup ecosystem. Tulsa is a secondary hub, particularly for industrial AI applications tied to the energy and manufacturing sectors. Norman also sees demand, partly due to proximity to the University of Oklahoma's computer science programs.
How to find ai engineer visa sponsorship jobs in Oklahoma?
Migrate Mate is built specifically for international candidates seeking visa sponsorship roles. You can filter directly by state and job category to surface AI engineer positions in Oklahoma from employers with documented sponsorship activity. This saves significant time compared to manually screening generic job listings that rarely disclose sponsorship availability upfront.
What should AI engineers know about Oklahoma's sponsorship market before applying?
Oklahoma's AI engineering demand is heavily shaped by the energy and defense industries, so candidates with domain knowledge in those sectors have a meaningful advantage beyond technical skills alone. The University of Oklahoma and Oklahoma State University supply a steady pipeline of local graduates, meaning international candidates typically strengthen their applications by emphasizing specialized AI experience or research that distinguishes them from domestic applicants.
What is the prevailing wage for sponsored ai engineer jobs in Oklahoma?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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