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Remote Open Interviews Jobs in Kentucky (NOW HIRING)

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Remote Open Interviews information

What are remote open interviews?

Remote open interviews are virtual hiring events where job candidates can join an online meeting or platform at specified times to meet with employers or recruiters. Unlike scheduled interviews, these are typically open to anyone interested, allowing multiple candidates to participate without a prior appointment. They provide a convenient and efficient way for both employers and job seekers to connect, especially for remote or work-from-home positions. Participants may be interviewed in group sessions or individually, and the process often includes an overview of available roles, company information, and a Q&A session.

What are some common challenges candidates face during remote open interviews, and how can they best prepare?

Candidates often find remote open interviews challenging due to technical issues, unfamiliarity with virtual platforms, and the need to stand out in a group setting. To prepare, it's important to test your technology (camera, microphone, internet connection) ahead of time, practice clear and concise self-introductions, and be ready to engage actively even when others are present. Additionally, setting up a quiet, distraction-free environment and researching the company beforehand can help you make a strong impression.

What are the key skills and qualifications needed to thrive in remote open interviews, and why are they important?

To succeed in Remote Open Interviews, you need strong communication skills, a professional online presence, and relevant qualifications or experience for the target position. Familiarity with video conferencing platforms like Zoom or Microsoft Teams, as well as proficiency in submitting digital applications and portfolios, is essential. Adaptability, self-motivation, and the ability to engage confidently in virtual settings are key soft skills that set candidates apart. These abilities ensure you can effectively showcase your qualifications, make a positive impression, and navigate the unique challenges of remote hiring processes.

What is the difference between Remote Open Interviews vs Remote Job Applications?

AspectRemote Open InterviewsRemote Job Applications
ProcessOpen, scheduled interviews where candidates can participate without prior applicationApplicants submit applications and wait for employer response
Candidate SelectionBased on availability and interest during scheduled sessionsBased on submitted resumes and cover letters
Work EnvironmentInteractive, real-time conversations with recruiters or hiring managersApplication portals, email, or online forms
UsageUsed for quick talent sourcing, screening, and engagementTraditional method for applying to specific roles

Remote Open Interviews offer a live, flexible way for candidates to connect with employers without prior application, while Remote Job Applications involve submitting documents for specific roles. Both methods are common in remote hiring but serve different stages of the recruitment process.

What are the most commonly searched types of Open Interviews jobs in Kentucky?

The most popular types of Open Interviews jobs in Kentucky are:

What are popular job titles related to Remote Open Interviews jobs in Kentucky?

For Remote Open Interviews jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Remote Open Interviews jobs in Kentucky look for?

The top searched job categories for Remote Open Interviews jobs in Kentucky are:

What cities in Kentucky are hiring for Remote Open Interviews jobs?

Cities in Kentucky with the most Remote Open Interviews job openings:

Remote Open Interviews jobs near you
Infographic showing various Remote Open Interviews job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 13% Part Time, 7% Temporary, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

LLM Engineer (Remote)

Cognizant Technology Solutions

Louisville, KY • On-site, Remote

$141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 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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