ZipRecruiter

Log In

2

Remote Ai Prompt Engineer Trainee Jobs in Kentucky

AvKARE, LLC

Sr. AI Engineer

Fountain Run, KY · On-site +1

$88K - $121K/yr

Support AI model training, fine-tuning, and prompt engineering efforts, including embeddings ... Work Environment This is a fully remote position. The employee will primarily work from a home ...

New

Humana

Senior AI Implementation Lead

Louisville, KY · On-site +1

... 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 ...

Humana

Senior AI Implementation Lead

Louisville, KY · On-site +1

... 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 ...

Humana

Senior AI Implementation Lead

Louisville, KY · On-site +1

... 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 ...

Humana

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 ...

Humana

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 ...

next page

Showing results 1-20

All JobsAi Prompt Engineer JobsRemote Ai Prompt Engineer Trainee JobsRemote Ai Prompt Engineer Trainee Jobs in Kentucky

Remote Ai Prompt Engineer Trainee information

What is a Remote AI Prompt Engineer Trainee?

A Remote AI Prompt Engineer Trainee is an entry-level professional who works remotely to learn how to design, test, and optimize prompts for artificial intelligence models, such as large language models. Their main responsibility is to develop effective queries or instructions that guide AI models to produce accurate and relevant outputs. Trainees often work under the supervision of experienced prompt engineers and participate in hands-on training, gaining practical experience with AI tools and prompt engineering best practices. This role is ideal for individuals interested in AI, natural language processing, and technology-driven problem solving.

What are the key skills and qualifications needed to thrive as a Remote AI Prompt Engineer Trainee?

To thrive as a Remote AI Prompt Engineer Trainee, you need a strong foundation in language proficiency, analytical thinking, and a basic understanding of artificial intelligence concepts, often complemented by coursework or certifications in computer science or related fields. Familiarity with AI platforms, prompt engineering tools, and collaborative systems like GitHub or Slack is typically expected. Creativity, attention to detail, and effective communication are standout soft skills for this position. These skills and qualities are vital for designing precise prompts, troubleshooting outputs, and collaborating efficiently in remote, cross-functional teams.

What are the typical challenges faced by a Remote AI Prompt Engineer Trainee when collaborating with cross-functional teams?

As a Remote AI Prompt Engineer Trainee, one common challenge is effectively communicating technical concepts and prompt design strategies with team members from non-technical backgrounds, such as product managers or UX designers. Since work is remote, navigating time zones and ensuring clear documentation can also be difficult. However, regular virtual meetings, proactive updates, and using collaborative tools help bridge these gaps, allowing trainees to contribute meaningfully to AI model development and refinement.

What is the difference between Remote Ai Prompt Engineer Trainee vs Remote Ai Prompt Engineer?

AspectRemote Ai Prompt Engineer TraineeRemote Ai Prompt Engineer
Required CredentialsBasic understanding of AI and prompts, often entry-level certifications or self-taughtAdvanced knowledge of AI, experience with prompt engineering, and relevant certifications
Work EnvironmentTraining programs, internships, or entry-level roles, often remoteFull-time remote positions, working on complex AI prompt development
Employer & Industry UsageTech companies, startups, AI service providers, focusing on learning and developmentEstablished companies, AI research labs, and product teams deploying AI solutions

The main difference between a Remote Ai Prompt Engineer Trainee and a Remote Ai Prompt Engineer is experience level and responsibility. Trainees are in learning phases, focusing on acquiring skills, while engineers are experienced professionals actively developing and optimizing AI prompts for real-world applications.

What are popular job titles related to Remote Ai Prompt Engineer Trainee jobs in Kentucky?

For Remote Ai Prompt Engineer Trainee jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Remote Ai Prompt Engineer Trainee jobs in Kentucky look for?

The top searched job categories for Remote Ai Prompt Engineer Trainee jobs in Kentucky are:

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

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

Remote Ai Prompt Engineer Trainee jobs near you

LLM Engineer (Remote)

Louisville, KY • On-site, Remote

Cognizant Technology Solutions

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

Paid breaks

Recommended by parents

Respectful managers

Learn more about Cognizant Technology Solutionsexternal

$141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

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.

What Cognizant employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply