Mechro Founding Applied AI Engineer
Department: Mechro
Employment Type: Full Time
Location: Tulsa, Oklahoma, Tulsa, OK, Hybrid
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
- 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
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
- 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
- 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
~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
- 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
How to Apply
- 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?
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.
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