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Remote Ai Prompt Engineer Jobs in Kentucky (NOW HIRING)

... prompt engineering, and agent orchestration frameworks. * Responsible AI * Healthcare compliance ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

... prompt engineering, and agent orchestration frameworks. * Responsible AI * Healthcare compliance ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

... prompt engineering, and agent orchestration frameworks. * Responsible AI * Healthcare compliance ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Senior AI Technical Product Manager

Louisville, KY · On-site +1

$121K - $160K/yr

Support high-level architecture and feasibility discussions with engineering, while owning the required prompt engineering and/or skill creation components of the AI harness. * Cross-functional ...

Senior AI Technical Product Manager

Louisville, KY · On-site +1

$121K - $160K/yr

Support high-level architecture and feasibility discussions with engineering, while owning the required prompt engineering and/or skill creation components of the AI harness. * Cross-functional ...

Senior AI Technical Product Manager

Louisville, KY · On-site +1

$121K - $160K/yr

Support high-level architecture and feasibility discussions with engineering, while owning the required prompt engineering and/or skill creation components of the AI harness. * Cross-functional ...

ChatGPT Tutor

Lexington, KY · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

ChatGPT Tutor

Louisville, KY · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

$4.0K - $5.0K/mo

Remote Reports to: CEO Team: 2-3 engineers About the role Distro is an AI-powered recruiting ... OpenAI API - completions, structured outputs, vector stores, prompt caching, evaluation Tooling:

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Remote Ai Prompt Engineer information

See Kentucky salary details

$22

$46

$66

How much do remote ai prompt engineer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for remote ai prompt engineer in Kentucky is $46.58, according to ZipRecruiter salary data. Most workers in this role earn between $37.60 and $54.09 per hour, depending on experience, location, and employer.

What is a remote AI prompt engineer?

A Remote AI Prompt Engineer designs, refines, and optimizes prompts to improve AI-generated responses in various applications, such as chatbots, content generation, and automation tools. They work remotely to test AI models, analyze outputs, and develop strategies to enhance AI performance. This role requires strong language skills, creativity, and an understanding of AI model behavior. Their work helps ensure AI systems generate accurate, relevant, and high-quality responses.

What does a remote AI prompt engineer do?

A typical day for a Remote AI Prompt Engineer involves designing, testing, and refining prompts for various AI models to improve their outputs based on project goals. You may collaborate with product managers, data scientists, and software engineers through digital communication tools to align prompt strategies with business needs. Reviewing model responses, analyzing results, and documenting prompt performance are regular tasks. Additionally, you may participate in virtual team meetings and training sessions to stay updated on new AI developments. This role offers a diverse mix of technical problem-solving and creative experimentation within a flexible remote work environment.

What are the key skills and qualifications needed to thrive in the remote AI prompt engineer position, and why are they important?

To thrive as a Remote AI Prompt Engineer, you should have a strong grasp of natural language processing, prompt engineering techniques, and a background in computer science or related fields. Familiarity with AI platforms (such as OpenAI's GPT or similar LLMs), version control systems, and experience with relevant programming languages like Python are highly valuable, and certifications in AI or machine learning are a plus. Exceptional analytical thinking, clear written communication, creativity, and the ability to work independently are key soft skills for this role. These capabilities enable prompt engineers to develop effective prompts, collaborate remotely, and drive high-quality AI-driven outcomes.

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

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

What cities in Kentucky are hiring for Remote Ai Prompt Engineer jobs?

Cities in Kentucky with the most Remote Ai Prompt Engineer job openings:

Infographic showing various Remote Ai Prompt Engineer job openings in Kentucky as of August 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 100% Remote job distribution, with an average salary of $96,886 per year, or $46.6 per hour.

LLM Engineer (Remote)

Cognizant Technology Solutions

Louisville, KY • On-site, Remote

$141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

59th of 72 rated business consultants


Job description

LLM Engineer
About the role
As LLM Engineer, you will make an impact by designing, building, optimizing, and deploying Large Language Model (LLM) and Small Language Model (SLM) solutions that power the enterprise Agent Factory. You will be a valued member of the AI Engineering team and work collaboratively with data scientists, platform engineers, product teams, and business stakeholders to deliver scalable, production-ready generative AI capabilities.
In this role, you will:
  • Design, build, fine-tune, deploy, and optimize LLM and SLM solutions for enterprise-scale use cases.
  • Develop and maintain supervised fine-tuning, model adaptation, and evaluation pipelines.
  • Apply advanced model optimization techniques including LoRA, QLoRA, distillation, quantization, and model compression to improve performance and efficiency.
  • Assess commercial, open-source, and internally hosted foundation models based on quality, cost, scalability, and operational requirements.
  • Collaborate with cross-functional teams to support domain-specific AI solutions using approved enterprise datasets and best practices for responsible AI.

Work model:
We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in Louisville, KY. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
*Please note that this position is not eligible for visa transfer or sponsorship now or at any time in the future*
What you need to have to be considered
  • 7+ years of experience in Software Engineering, AI Engineering, Machine Learning Engineering, Platform Engineering, or a related technical discipline.
  • 2+ years of hands-on experience developing and deploying Generative AI, LLM, SLM, or Agentic AI solutions in production environments.
  • Experience building enterprise-grade AI applications utilizing LLMs, Retrieval-Augmented Generation (RAG), prompt engineering, APIs, and cloud or on-premises platforms.
  • Strong understanding of model fine-tuning, adaptation, evaluation frameworks, and AI quality measurement methodologies.
  • Proficiency in machine learning development, model deployment, and MLOps best practices.
  • Experience working with Python and modern AI/ML frameworks and tools.

These will help you stand out
  • Knowledge of AI infrastructure, GPU optimization, and large-scale model serving.
  • Experience implementing model governance, responsible AI, and evaluation frameworks.
  • Familiarity with vector databases, embedding models, and advanced RAG architectures.
  • Experience building enterprise AI platforms, multi-agent systems, or agent orchestration frameworks.

Salary and Other Compensation:
Applications will be accepted until September 17th, 2026.
The annual salary for this position is between $ 81,337 to $141,500 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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