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Ai Engineer Intern Jobs in Kentucky (NOW HIRING)

Fooji, Inc.

Software Engineering Intern

Lexington, KY · On-site

... engineer guidance * Help integrate and test third-party APIs (webhook-based enrichment services ... Use AI coding tools (Cursor, Claude Code, or similar) as part of your daily workflow - we're an AI ...

Fooji, Inc.

Software Engineering Intern

Lexington, KY · On-site

... engineer guidance * Help integrate and test third-party APIs (webhook-based enrichment services ... Use AI coding tools (Cursor, Claude Code, or similar) as part of your daily workflow - we're an AI ...

Neura Market

$96.43/hr

As pioneers in generative AI for healthcare, we are setting the industry standards for the ... The Role We\'re looking for Software Engineering Interns to join Abridge\'s Engineering team for a ...

Triwill Group

$79 - $84/hr

WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together We're ... Working towards a proficiency of one or more programming languages such as Typescript, Node.js, or ...

New

IMEG Corp

$12.25 - $16/hr

Structural Engineering Intern | Houston, TX 100% Employee-Owned · Big-firm resources, local-team ... VR and AI to carbon‑reduction technology. Real impact from day one: at IMEG, an intern once ...

New

GlobalFoundries inc.

$20.66/hr

## Advanced Manufacturing Process Engineering Intern (Summer 2027)Applylocations: USA - Vermont ... GlobalFoundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale ...

Blue Origin LLC

$112 - $157/hr

Own the operational delivery of intern experience programming across the internship lifecycle ... Apply AI-enabled tools for content generation, scheduling, and program communications to gain ...

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Ai Engineer Intern information

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How much do ai engineer intern jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for ai engineer intern in Kentucky is $22.07, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $25.05 per hour, depending on experience, location, and employer.

What does an AI Engineer Intern do?

An AI Engineer Intern assists in designing, developing, and testing artificial intelligence models and algorithms under the supervision of experienced engineers. Their tasks may include data preprocessing, building machine learning models, evaluating model performance, and collaborating with cross-functional teams. Interns often work on real-world projects, gaining hands-on experience with AI tools and technologies such as Python, TensorFlow, or PyTorch. The internship provides valuable insight into the AI development lifecycle and helps interns build foundational skills for a career in artificial intelligence.

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

To thrive as an AI Engineer Intern, you need a solid grounding in computer science fundamentals, programming (especially Python), and a basic understanding of machine learning algorithms, often supported by coursework or personal projects. Familiarity with tools and frameworks like TensorFlow, PyTorch, and Git, as well as experience with data analysis libraries such as NumPy and pandas, is typically expected. Strong problem-solving abilities, curiosity, and effective communication skills help interns stand out when collaborating and learning in fast-paced environments. These skills and qualities are crucial for quickly adapting to technical challenges and contributing meaningfully to AI development projects.

What are some common challenges an AI Engineer Intern might face during their internship?

As an AI Engineer Intern, you may encounter challenges such as adapting to complex codebases, understanding large datasets, and balancing theoretical concepts with practical implementation. It’s common to work on projects where requirements or data may change rapidly, requiring flexibility and problem-solving skills. Additionally, collaborating with cross-functional teams like data scientists or software engineers can be an adjustment, as effective communication is key to integrating AI solutions into broader products.

How much do AI engineer interns make?

AI engineer interns typically earn between $15 and $30 per hour, depending on the company, location, and level of experience. Internships often provide valuable skills in machine learning, programming, and data analysis, and may include stipends or hourly wages aligned with industry standards.

What are the most commonly searched types of Ai Engineer jobs in Kentucky?

The most popular types of Ai Engineer jobs in Kentucky are:

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For Ai Engineer Intern jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Ai Engineer Intern jobs in Kentucky look for?

The top searched job categories for Ai Engineer Intern jobs in Kentucky are:

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Cities in Kentucky with the most Ai Engineer Intern job openings:

Ai Engineer Intern jobs near you
Infographic showing various Ai Engineer Intern job openings in Kentucky as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $45,916 per year, or $22.1 per hour.

Software Engineering Intern

Fooji, Inc.

Lexington, KY • On-site

Part-time

Posted 4 days ago

Job description

About Fooji
Fooji is a marketing engagement platform that powers promotional campaigns and gift/prize fulfillment for brands. Our engineering team builds and maintains backend infrastructure, third-party integrations, and APIs that support high-traffic consumer campaigns - from messaging and identity verification to logistics and creator/influencer tooling.
About the Role
We're looking for a motivated tech intern to join our engineering team for the Fall semester. You'll work directly with our engineering team on real, production-facing features - not busywork. Recent projects on the team have included creator search infrastructure, AWS messaging systems (SMS/MMS/RCS), API integrations with third-party enrichment platforms, and backend data pipelines.
This role is a great fit for a student who wants hands-on experience with modern cloud infrastructure, API design, and AI-assisted software development in a fast-moving startup environment.
What You'll Do
  • Assist in building and testing backend services in Node.js/TypeScript
  • Work with AWS services (Lambda, DynamoDB, RDS/PostgreSQL, EventBridge, SNS, and others) under senior engineer guidance
  • Help integrate and test third-party APIs (webhook-based enrichment services, messaging platforms, identity verification, shipping/logistics)
  • Write and troubleshoot SQL queries against PostgreSQL databases
  • Participate in code review and contribute to our engineering documentation and internal tooling
  • Use AI coding tools (Cursor, Claude Code, or similar) as part of your daily workflow - we're an AI-forward team and expect interns to be comfortable pairing with these tools

Requirements
Qualifications
  • Currently enrolled full-time or within 2 years of graduation
  • Pursuing a degree in Computer Science, Software Engineering, or a related technical field
  • GPA of 3.5 or higher
  • Hands-on experience with an AI coding assistant (e.g., Cursor, Claude Code, GitHub Copilot) - comfortable using these tools to accelerate development, not just for autocomplete
  • Some coursework or project experience with JavaScript/TypeScript, SQL, or general backend development
  • Familiarity with Git/GitHub
  • Able to work Eastern Time Zone business hours
  • Strong communication skills and comfort asking questions - we move fast and value people who speak up when something's unclear
Nice to Have (not required)
  • Exposure to AWS or another cloud provider
  • Coursework involving APIs, databases, or distributed systems
  • Personal projects, hackathon experience, or open-source contributions

Benefits
Why Intern at Fooji
  • Direct mentorship from engineers working on production systems used by major brands
  • Exposure to real cloud architecture decisions, not toy projects
  • A team culture that treats AI tools as a core part of the craft, not a shortcut to avoid learning
  • Potential path to future opportunities based on performance

Apply