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Remote Wafer Fab Process Engineer Jobs in Kentucky

Actalent

Mechanical Engineer

Lexington, KY · On-site +1

$30 - $96.15/hr

This is a fully remote opportunity for an engineer who wants to lead projects from concept through ... We may use Artificial Intelligence (AI) to support parts of our hiring process,including sourcing ...

Actalent

Mechanical Engineer Lead

Lexington, KY · On-site +1

$30 - $96.15/hr

This is a fully remote opportunity for an engineer who wants to lead projects from concept through ... We may use Artificial Intelligence (AI) to support parts of our hiring process,including sourcing ...

New

Humana

Cyber Security Engineer

Louisville, KY · On-site +1

Become a part of our caring community (Remote in posted locations) We are seeking a hands-on ... Create and maintain SOPs, playbooks, KT documentation, escalation paths, and process guides.

Humana

Cyber Security Engineer

Louisville, KY · On-site +1

Become a part of our caring community (Remote in posted locations) We are seeking a hands-on ... Create and maintain SOPs, playbooks, KT documentation, escalation paths, and process guides.

Humana

Cyber Security Engineer

Louisville, KY · On-site +1

Become a part of our caring community (Remote in posted locations) We are seeking a hands-on ... Create and maintain SOPs, playbooks, KT documentation, escalation paths, and process guides.

ASSA ABLOY

Lead Software Engineer

Nicholasville, KY · On-site +1

This role works closely with internal engineering teams, remote IT resources, external consultants ... APIs and software integrations Project & Process Leadership * Lead Agile development practices ...

DaVita

$41.50 - $55/hr

... engineer for "first-of-its-kind" solutions before transitioning them to the broader team for ... This role may require a mix of remote and in-office work, travel to DaVita locations, Vendor or ...

Navarro Inc.

Chemical Engineer (P.E.) (3946)

Paducah, KY · On-site +1

This is a remote position with travel to Paducah when needed. Navarro is an award-winning provider ... Support development of process flow for treatment systems and coordinate with vendors on selection ...

Navarro Inc.

Chemical Engineer (P.E.) (3946)

Paducah, KY · On-site +1

This is a remote position with travel to Paducah when needed. Navarro is an award-winning provider ... Support development of process flow for treatment systems and coordinate with vendors on selection ...

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Remote Wafer Fab Process Engineer information

What is the difference between Remote Wafer Fab Process Engineer vs Remote Semiconductor Equipment Engineer?

AspectRemote Wafer Fab Process EngineerRemote Semiconductor Equipment Engineer
CredentialsBachelor's in Engineering, Semiconductor or related field; certifications like SEMI or IPC are commonBachelor's in Engineering, Electronics, or related; similar certifications often required
Work EnvironmentManufacturing facilities, cleanrooms, or remote monitoring of fab processesManufacturing plants, equipment maintenance, or remote troubleshooting of semiconductor tools
Industry UsageUsed in semiconductor fabrication plants to optimize wafer processingUsed in semiconductor manufacturing to maintain and troubleshoot equipment

Both roles require technical knowledge of semiconductor processes and equipment, often with overlapping certifications. The main difference lies in focus: the Process Engineer concentrates on wafer fabrication processes, while the Equipment Engineer focuses on maintaining and troubleshooting manufacturing tools. Both roles are vital in semiconductor manufacturing and may involve remote work for process optimization or equipment support.

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Infographic showing various Remote Wafer Fab Process Engineer job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, 4% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% 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 14 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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