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Artificial intelligence; AI) Engineer Intern

Job in Northern, Floyd County, Kentucky, USA
Listing for: Talanto
Apprenticeship/Internship position
Listed on 2026-09-06
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 51000 - 73000 USD Yearly USD 51000.00 73000.00 YEAR
Job Description & How to Apply Below
Position: Artificial intelligence (AI) Engineer Intern
Location: Northern

Artificial intelligence (AI) Engineer Intern

7,800 $

Important: if an employer asks you to log into their system via iCloud or Google, send a code, an SMS or Telegram password, run some code, or install software - refuse. These are signs of fraud.

Who We Are

is the Real Human + Right Human® Identity Trust Platform for the AI era. As AI-driven fraud and deepfakes erode trust in digital communication, delivers continuous identity verification and deepfake detection across voice, video, and digital interactions in real time.

Enterprises rely on to secure billions of high-risk customer interactions each year, including top U.S. banks, as well as leading insurers and healthcare providers. Powered by models trained on more than 1.5 billion real-world interactions annually and protected by 300+ patents, restores trust while reducing fraud, lowering operational costs, and improving customer experience.

Recognized by TIME as one of the Top 10 Most Influential Software Companies of 2026 and by Inc. for Best in Business for Innovation, is backed by leading investors including Andreessen Horowitz, IVP, and Capital

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What you’ll do

As an AI Engineering Intern, you will be at the forefront of applying generative AI to enhance ’s internal operations and engineering productivity. You will work closely with senior engineers to turn manual processes into intelligent, automated workflows.

  • Explore and build proof-of-concept AI agents to automate complex internal engineering workflows, such as incident analysis or code review summaries.
  • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to enable "chat with your data" capabilities for internal technical documentation and runbooks.
  • Collaborate with cross-functional teams to identify operational bottlenecks and implement AI-driven fixes that improve efficiency and performance.
  • Test and document the use of emerging AI-assisted coding and monitoring tools to determine their viability for the broader engineering organization.
  • Participate in security-minded engineering, ensuring that automated workflows follow strict data hygiene and secrets management protocols.
Who you are
  • You are deeply curious about how AI can make large-scale systems more efficient and are comfortable experimenting with new, unproven tools.
  • You are excited to uncover innovative solutions and can teach yourself new frameworks (like Lang Chain or Auto-GPT) when needed.
  • You take ownership of your projects, under-promise, and over-deliver.
  • You seek feedback frequently and can explain complex AI concepts to both technical and non-technical teammates.

Must-haves:

  • Pursuing a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Knowledge of Python for automation and data processing.
  • Demonstrated interest or project experience in AI/ML, specifically involving Large Language Models (LLMs) and prompt engineering.
  • Familiarity with Git workflows.

Nice-to-haves:

  • Hands-on experience building small ML pipelines or experimenting with vector databases and RAG frameworks.
  • Foundational experience with AWS or GCP services (e.g., Lambda, S3, or Sage Maker).
  • Exposure to CI/CD concepts or infrastructure-as-code (e.g., Git Hub Actions, Docker).
What’s in it for you

In an era where synthetic media and identity manipulation are accelerating, you will work on the systems that ensure every interaction involves the real human and the right human. You will wake up every day knowing your work has real-world impact by protecting financial institutions and consumers from fraud.

You will gain hands-on experience in a modern environment, working alongside some of the best technical minds in security, AI, and voice intelligence. This is a career-defining opportunity for someone ready to drive meaningful, enterprise-level AI impact.

Please note that the base pay range is a general guideline only. considers factors such as (but not limited to) scope and responsibilities of the position, a candidate's work experience, education/training, and key skills, as well as market and business considerations, when extending an offer.

US Base Pay Range

$45-$45 USD

AI - A Transformative Force

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