1

Assistant Chatbot Developer Jobs in Oklahoma (NOW HIRING)

We're building an AI troubleshooting assistant that becomes the first line of diagnosis for ... Not a chatbot bolted onto a PDF, but a full-stack system that ingests manuals, logs, historical ...

We're building an AI troubleshooting assistant that becomes the first line of diagnosis for ... Not a chatbot bolted onto a PDF, but a full-stack system that ingests manuals, logs, historical ...

Assistant Chatbot Developer information

What are the key skills and qualifications needed to thrive as an Assistant Chatbot Developer, and why are they important?

To thrive as an Assistant Chatbot Developer, you need foundational programming skills (such as Python or JavaScript), understanding of natural language processing (NLP) concepts, and a relevant degree or coursework in computer science or related fields. Familiarity with chatbot frameworks (like Dialogflow or Microsoft Bot Framework), API integration, and version control systems (such as Git) is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork are important soft skills for success in this role. These skills ensure the creation of functional, user-friendly chatbots that meet business requirements and deliver a seamless user experience.

What are some common challenges faced by Assistant Chatbot Developers when integrating chatbots with existing systems?

Assistant Chatbot Developers often encounter challenges when integrating chatbots with existing platforms such as customer relationship management (CRM) tools, databases, or third-party APIs. These challenges include ensuring data compatibility, maintaining security standards, and addressing latency issues for real-time interactions. Successful integration typically requires close collaboration with IT and development teams, as well as thorough testing to identify and resolve any bugs or inconsistencies. Being proactive in communication and documentation can help streamline the integration process and deliver a seamless user experience.

What are Assistant Chatbot Developers?

Assistant Chatbot Developers are professionals who design, build, and maintain chatbot systems that interact with users through text or voice interfaces. They work on programming chatbots to understand user queries and deliver accurate, helpful responses. These developers use natural language processing (NLP) and machine learning tools to enhance chatbot capabilities and improve user experiences. Their work often involves collaborating with UX designers, data scientists, and software engineers.

What is the difference between Assistant Chatbot Developer vs Chatbot Developer?

AspectAssistant Chatbot DeveloperChatbot Developer
Required SkillsNatural language processing, AI integration, scriptingAI, NLP, software development, API integration
Work EnvironmentTech companies, customer service platforms, AI startupsSoftware firms, AI companies, enterprise solutions
Common UsageBuilding virtual assistants for specific tasksDesigning complex chatbots for various industries

Assistant Chatbot Developers focus on creating virtual assistants that handle specific tasks, often with a user-friendly interface. Chatbot Developers build more complex, multi-purpose chatbots for broader applications. Both roles require similar skills in AI and NLP but differ in scope and complexity.

What job categories do people searching Assistant Chatbot Developer jobs in Oklahoma look for? The top searched job categories for Assistant Chatbot Developer jobs in Oklahoma are:
What cities in Oklahoma are hiring for Assistant Chatbot Developer jobs? Cities in Oklahoma with the most Assistant Chatbot Developer job openings:

Mechro Founding Applied AI Engineer

Mechro

Tulsa, OK

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Job description

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.
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
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
  • 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
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.
  • 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
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.
No cover letter. Just better questions.
Please apply with:
  1. A short pitch (2–3 sentences about yourself)
  2. 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.