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Ai Engineer Remote Internship Jobs in Kentucky (NOW HIRING)

Siemens

$18 - $50/hr

Comfortable working in a fully remote environment within the United States of America ... AI technologies. * Familiarity with digital engineering, PLM, or engineering data management ...

New

Siemens

$18 - $50/hr

Comfortable working in a fully remote environment within the United States of America ... AI technologies. * Familiarity with digital engineering, PLM, or engineering data management ...

New

Siemens

$18 - $50/hr

Comfortable working in a fully remote environment within the United States of America ... AI technologies. * Familiarity with digital engineering, PLM, or engineering data management ...

New

Siemens

$18 - $50/hr

Comfortable working in a fully remote environment within the United States of America ... AI technologies. * Familiarity with digital engineering, PLM, or engineering data management ...

New

Siemens

$18 - $50/hr

Comfortable working in a fully remote environment within the United States of America ... AI technologies. * Familiarity with digital engineering, PLM, or engineering data management ...

New

Siemens

$18 - $50/hr

Comfortable working in a fully remote environment within the United States of America ... AI technologies. * Familiarity with digital engineering, PLM, or engineering data management ...

New

Quora

iOS Engineer -Remote

Owensboro, KY · Remote

$61.63 - $88.47/hr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

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Ai Engineer Remote Internship information

What is an AI Engineer remote internship?

An AI Engineer Remote Internship is a temporary, often entry-level position that allows students or recent graduates to gain practical experience working with artificial intelligence technologies while working remotely. Interns typically assist in developing, testing, and deploying machine learning models, as well as collaborating with teams on data analysis and AI-based solutions. Remote internships provide flexibility, allowing interns to work from any location while still gaining valuable industry experience and networking opportunities.

What are the key skills and qualifications needed to thrive as an AI Engineer remote intern?

To thrive as an AI Engineer Remote Intern, you need a solid foundation in computer science, machine learning principles, and programming languages like Python, often demonstrated through relevant coursework or projects. Familiarity with tools such as TensorFlow, PyTorch, version control systems (e.g., Git), and cloud platforms like AWS or Google Cloud is typically expected. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in a distributed team environment. These abilities enable interns to contribute meaningfully to AI projects, learn quickly, and collaborate efficiently despite the challenges of remote work.

How does an AI Engineer remote internship typically structure mentorship and collaboration given the virtual work environment?

Remote AI Engineer internships often use a combination of regular video check-ins, code reviews, and collaborative tools like GitHub and Slack to facilitate mentorship and teamwork. Interns are usually paired with a dedicated mentor or participate in a small project team, ensuring ongoing support and feedback despite the physical distance. Effective communication and proactive engagement are crucial, as interns may need to reach out regularly for guidance and share progress updates. This structure helps interns gain hands-on experience, develop problem-solving skills, and build professional relationships in a remote setting.

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Ai Engineer Remote Internship jobs near you

LLM Engineer (Remote)

Cognizant Technology Solutions

Louisville, KY • On-site, Remote

$141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

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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