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Ai Prompt Engineer Jobs in Oklahoma (NOW HIRING)

Design, tune, and evaluate purpose-built tools, function calls, and prompt templates. * User ... engineering experience, including demonstrated experience shipping and maintaining AI/ML systems in ...

Design, tune, and evaluate purpose-built tools, function calls, and prompt templates. * User ... engineering experience, including demonstrated experience shipping and maintaining AI/ML systems in ...

AI Engineer

Tulsa, OK ยท On-site

$50K - $112K/yr

... prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications ... for AI projects - Utilizing machine learning libraries like Scikit-Learn for data analysis ...

Knowledge of Generative AI, Large Language Models (LLMs), Prompt Engineering, AI Agents, and Retrieval Augmented Generation (RAG). * Experience with enterprise AI technologies including Open WebUI ...

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Ai Prompt Engineer information

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$23

$49

$70

How much do ai prompt engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for ai prompt engineer in Oklahoma is $49.52, according to ZipRecruiter salary data. Most workers in this role earn between $39.95 and $57.50 per hour, depending on experience, location, and employer.

What is an AI prompt engineer?

An AI Prompt Engineer designs, tests, and optimizes prompts to improve the performance of AI language models. They ensure that AI-generated responses align with desired outcomes by refining input prompts and analyzing model behavior. This role requires a mix of technical skills, creativity, and an understanding of natural language processing (NLP). Prompt engineers often collaborate with developers, data scientists, and product teams to enhance AI interactions.

What does an AI prompt engineer do?

As an AI Prompt Engineer, your day-to-day work often involves designing, testing, and refining prompts to improve the performance and accuracy of AI models for various applications. You'll frequently collaborate with data scientists, product managers, and software developers to understand requirements and integrate AI solutions effectively. Analyzing prompt outputs, troubleshooting issues, and documenting best practices are integral parts of the role. This position offers a dynamic and intellectually stimulating environment where continual learning and innovation are encouraged.

What are the key skills and qualifications needed to thrive as an AI prompt engineer?

To thrive as an AI Prompt Engineer, a solid background in natural language processing, programming (such as Python), and understanding of machine learning concepts is essential, typically supported by a degree in computer science or a related field. Experience with AI frameworks (like OpenAI's APIs), prompt engineering tools, and familiarity with cloud platforms are highly valued and may be supplemented by certifications in AI or data science. Strong analytical thinking, creativity, and excellent communication skills allow for designing effective prompts and collaborating with technical and non-technical stakeholders. These skills and qualities ensure the development of high-quality AI solutions that meet user needs and maximize the effectiveness of language models.

How do I become an AI prompt engineer?

To become an AI prompt engineer, develop strong skills in natural language processing, machine learning, and programming languages like Python. Gain experience with AI models such as GPT and learn to craft effective prompts through practice and understanding of model behavior. Relevant certifications, online courses, and familiarity with AI tools can also enhance your qualifications.

How much do AI prompt engineers make?

AI prompt engineers typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and natural language processing can command higher salaries. Many positions also offer benefits such as flexible schedules and opportunities for professional development.

What is the job of an AI Prompt Engineer?

An AI Prompt Engineer designs and optimizes prompts to improve the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like natural language processing to ensure accurate and relevant outputs, often working with machine learning frameworks and data annotation techniques.

What are the most commonly searched types of Ai Prompt Engineer jobs in Oklahoma?

The most popular types of Ai Prompt Engineer jobs in Oklahoma are:

What are popular job titles related to Ai Prompt Engineer jobs in Oklahoma?

For Ai Prompt Engineer jobs in Oklahoma, the most frequently searched job titles are:

What cities in Oklahoma are hiring for Ai Prompt Engineer jobs?

Cities in Oklahoma with the most Ai Prompt Engineer job openings:

Infographic showing various Ai Prompt Engineer job openings in Oklahoma as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $103,000 per year, or $49.5 per hour.

Care Innovation - Automation Engineer 136-2000

CommunityCare

Tulsa, OK โ€ข On-site

Full-time

Re-posted 10 days ago


Job description

JOB SUMMARY:
The Automation Engineer delivers end-to-end automation solutions by combining business analysis, RPA development, and artificial intelligence to optimize enterprise operations. Using UiPath and AI technologies such as document understanding, OCR, and LLMs, this role designs, develops, and supports secure, scalable automation solutions while partnering with business and IT stakeholders to drive measurable business value.
KEY RESPONSIBILITIES:
  • Discover, analyze and document business processes by developing Process Definition Documents (PDD), Solution Design Documents (SDD), success criteria and SLAs.
  • Design and implement automation and process improvement solutions that streamline workflows and improve scalability, efficiency, and reliability.
  • Partner with stakeholders to prioritize automation opportunities, evaluate ROI, and support automation governance and Center of Excellence (CoE) standards.
  • Design, develop, test, and deploy UiPath Studio automations using REFramework, queues, exception handling, structured logging, and integrations with enterprise applications through APIs, SQL, files, and messaging services.
  • Configure and implement secure deployments in UiPath Orchestrator, including assets, credentials and secrets, scheduling, and role-based security.
  • Develop reusable .NET components and custom activities, publish shared libraries, and ensure code quality through peer reviews and coding standards.
  • Develop AI-enabled automation solutions using UiPath Document Understanding, AI Center, OCR, intelligent classification and extraction, LLM-based summarization, prompt orchestration, and human-in-the-loop validation to improve automation coverage and accuracy.
  • Utilize AI to process structured and unstructured datasets, improving automation accuracy, scalability, and business reporting.
  • Evaluate emerging AI and automation technologies, promoting practical adoption across the organization.
  • Manage and configure CI/CD pipelines using Azure DevOps or GitHub Actions to automate version control, testing, packaging, and deployment of automation solutions.
  • Monitor production automation performance using UiPath Orchestrator and Insights, analyze KPIs and exceptions, perform root cause analysis, and implement timely resolutions.
  • Develop dashboards and reporting that measure automation performance, operational efficiency, and business value.
  • Perform other related job duties as required or assigned.

QUALIFICATIONS:
  • Demonstrated hands-on experience applying AI within automation solutions, including LLMs and generative AI (prompt engineering, orchestration, extraction, summarization, retrieval patterns, and human-in-the-loop validation), UiPath Document Understanding, OCR, intelligent document classification and data extraction, and Azure OpenAI/Cognitive Services integration.
  • Strong .NET programming skills, primarily C#, including building custom activities, SDK usage, and unit testing.
  • Experience with Microsoft Azure services such as Azure Functions, Storage, Key Vault, and App Service; hands-on CI/CD in Azure DevOps and Git branching strategies.
  • Solid understanding of REST APIs, JSON and XML, and SQL; experience with data transformation and pipeline concepts.
  • Experience with Git-based workflows and CI/CD, secure SDLC, and secrets management.
  • Strong analytical, communication, and problem-solving skills, with the ability to translate business requirements into technical solutions.
  • Ability to work independently while handling multiple tasks and projects simultaneously.
  • Willingness to work in a high-tech, continually evolving, innovative environment.
  • Successful completion of Health Care Sanctions background check.

EDUCATION/EXPERIENCE:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience.
  • Three to five years of experience in business analysis and hands-on RPA development, including process mapping, requirements gathering, and delivering production automation solutions.
  • Prior experience with enterprise RPA, preferably UiPath: selectors, data scraping, REFramework, attended and unattended robots, Orchestrator assets and queues.
  • Demonstrated experience using AI to develop and enhance automation solutions.
  • Prior experience within the healthcare, insurance, or public sector preferred.
  • UiPath Computer Vision and automations in Citrix or other virtualized environments preferred.
  • Integrations with SAP, Oracle reporting, Salesforce, and ServiceNow.
  • Prior experience in Microsoft Power Platform (Power Automate, Power Apps) preferred.
  • Prior experience with OpenAI or Azure OpenAI integrations in RPA and agentic automation workflows preferred.
  • UiPath certifications (Developer, Advanced RPA Developer, Business Analyst) preferred.

CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin