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Entry Level Ai Game Developer Jobs in Raleigh, NC

Xsolla

AI-First Engineering Intern

Raleigh, NC

$20 - $25/hr

Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring ... We're offering AI Engineer Internships in regions across the globe to help drive that shift ...

Varsity Tutors

Video Game Design Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... programming for games, art asset creation, and playtesting methodology. Ability to explain game ...

Varsity Tutors

Video Game Design Tutor

Durham, NC · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... programming for games, art asset creation, and playtesting methodology. Ability to explain game ...

Varsity Tutors

Video Game Design Tutor

Raleigh, NC · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... programming for games, art asset creation, and playtesting methodology. Ability to explain game ...

Horizon Research Inc.

Be Seen First

Entry-Level Research Associate

Chapel Hill, NC · On-site

Mathematics, science, computer science, or engineering teaching experience in formal or informal ... AI tools such as Copilot, ChatGPT, Claude, and Gemini ethically and productively Essential ...

Horizon Research Inc.

Be Seen First

Entry-Level Research Associate

Chapel Hill, NC · On-site

Mathematics, science, computer science, or engineering teaching experience in formal or informal ... AI tools such as Copilot, ChatGPT, Claude, and Gemini ethically and productively Essential ...

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Entry Level Ai Game Developer information

See Raleigh, NC salary details

$31.6K

$105.4K

$175K

How much do entry level ai game developer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for entry level ai game developer in Raleigh, NC is $105,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,200.00 and $120,500.00 per year, depending on experience, location, and employer.

What does an entry level AI game developer do?

An Entry Level AI Game Developer assists in designing and implementing artificial intelligence features in video games, such as non-player character (NPC) behaviors, pathfinding, and decision-making systems. They work closely with other game developers to ensure that AI elements enhance gameplay and create engaging player experiences. Responsibilities often include coding, testing, debugging, and refining AI algorithms under the guidance of more experienced team members. This role is ideal for those with a foundation in computer science and a passion for gaming and AI technology.

What kinds of projects and tasks can I expect to work on as an entry level AI game developer?

As an Entry Level AI Game Developer, you'll typically assist with implementing basic AI behaviors, such as enemy pathfinding, non-player character (NPC) decision-making, and simple scripting for in-game events. You'll often collaborate with senior developers, designers, and artists to ensure the AI integrates smoothly with other gameplay systems. Over time, you'll gain exposure to debugging AI logic, optimizing performance, and possibly prototyping new AI features. This role offers a great learning environment, as you'll receive feedback and mentorship while working on both small tasks and integral features within a supportive team.

What are the key skills and qualifications needed to thrive as an entry level AI game developer, and why are they important?

To thrive as an Entry Level AI Game Developer, you need a solid understanding of programming languages (such as Python or C++), basic AI concepts, and a bachelor's degree in computer science or a related field. Familiarity with game engines like Unity or Unreal Engine and version control systems like Git is also important. Creativity, problem-solving skills, and effective communication help you collaborate with teams and design engaging game experiences. These skills ensure you can contribute to building intelligent, interactive games and adapt to the evolving demands of the gaming industry.

What is the difference between Entry Level Ai Game Developer vs Entry Level Game Programmer?

AspectEntry Level Ai Game DeveloperEntry Level Game Programmer
Required CredentialsBachelor's in Computer Science, Game Development, or related field; knowledge of AI algorithmsBachelor's in Computer Science, Software Engineering, or related; programming skills in C++/C#
Work EnvironmentGame studios, AI research teams, interactive entertainment companiesGame studios, software development firms, tech companies
Employer & Industry UsageFocus on AI systems within games, such as NPC behavior and adaptive gameplayDeveloping core game features, gameplay mechanics, and software architecture

While both roles require programming skills and a background in computer science, the Entry Level Ai Game Developer specializes in integrating AI technologies into games, whereas the Entry Level Game Programmer focuses on overall game development and coding. Understanding these distinctions helps job seekers target the right roles based on their skills and interests.

What are the most commonly searched types of Ai Game Developer jobs in Raleigh, NC?

The most popular types of Ai Game Developer jobs in Raleigh, NC are:

What are popular job titles related to Entry Level Ai Game Developer jobs in Raleigh, NC?

For Entry Level Ai Game Developer jobs in Raleigh, NC, the most frequently searched job titles are:

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The top searched job categories for Entry Level Ai Game Developer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Entry Level Ai Game Developer jobs?

Cities near Raleigh, NC with the most Entry Level Ai Game Developer job openings:

Entry Level Ai Game Developer jobs near you

AI-First Engineering Intern

Xsolla

Raleigh, NC

$20 - $25/hr

Internship

Re-posted 11 days ago

Job description

ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.

Why This Role Exists

Xsolla is going all-in on becoming an AI-first company, and we're not waiting for a slow rollout to get there. We're offering AI Engineer Internships in regions across the globe to help drive that shift directly, not by sitting in the back office, but by building.

You'll work on two things:

  1. Internal AI initiatives - helping unlock AI tooling and integrations across Xsolla faster than our existing teams can alone.

  2. Proof-of-concept builds on our own APIs - showing our product and engineering teams what's possible when you build with AI as a core part of your workflow, not an afterthought.

This isn't a shadow-and-observe internship. You'll ship code that goes to customers - internal teams or external players and game developers - working closely with senior engineers and fellow interns across our global regions.

Who You'll Work With

You won't be isolated on an intern-only project island. You'll work closely with senior engineers who are actively rebuilding how we write software, and you'll be part of a global cohort of interns building in parallel across our regions. That combination is the point: senior engineers give you a bar for what production-grade, customer-facing code looks like, and your fellow interns give you a peer group to trade ideas, code, and AI workflows every week.

What You'll Do

  • Partner and collaborate with senior engineers to identify where AI tooling and integrations can remove friction, and build the fix.

  • Build applications and integrations on top of Xsolla's APIs and SDKs that show internal teams how to move faster using AI-assisted development.

  • Ship work that matters. What you build is expected to reach real users - whether that's an internal tool an engineering team adopts or a customer-facing integration - not a throwaway exercise that gets shelved after your internship ends.

  • Use agentic coding tools (Claude Code, Cursor, or similar) as your default way of working - not a novelty you reach for occasionally.

  • Share what you build. We run weekly 30-second lightning-talk demos where everyone shows how they used AI to solve something that week - you'll be expected to bring something real.

  • Work with minimal process. You'll get context, a problem, and a mentor - the rest is on you to figure out and build.

  • Learn from and collaborate with both directions: senior engineers who'll mentor you on production-grade practices, and fellow interns across markets you'll trade ideas and code with at the weekly demos.

What We're Looking For

You build things because you want to, and that you already use AI to do it faster.

  • Genuine passion for building. You have side projects, hackathon entries, open-source contributions, or something you shipped just because you were curious. You didn't need an assignment to make it happen.

  • Real AI fluency. You've actually used tools like Claude Code, Cursor, Copilot, or similar agentic coding tools to build something - not just asked ChatGPT to explain a concept. You should be able to explain how you used AI to get there and how you confirmed it actually worked - not someone who fires off a prompt and hopes for the best.

  • Bias toward action. Given an ambiguous problem, you start building before you ask for a spec.

  • Comfort with developing modern full-stack solutions - we care more about how fast you learn than what you already know cold.

  • Open to current undergraduate students, graduate students, and recent graduates of a Computer Science, Software Engineering, or related program. If you're pursuing a graduate degree and don't mind taking on an internship-level role to get hands-on with AI, we want to hear from you.

How to Apply

Please include:

  1. A link to a GitHub profile, deployed project, or anything else you've built - the more recent and self-directed, the better.

  2. A short answer (2-3 sentences, or a 2-minute video/Loom if you'd rather show than tell) to: "What's something hard you built recently, and why did you build it?"

We're not grading for correctness or polish. We're looking for whether you have a real answer, and whether it's clear you actually did the work yourself (with AI as your tool, not your ghostwriter).

$20 - $25 an hour
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.
We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
 
Criminal History Consideration:
For the AI-First Engineering Intern, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
 
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
 
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact [email protected].
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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