Computer Science & Agentic AI Intern

In 2025, Monmouth University's Computer Science department shared a Class Kills internship opportunity with students seeking hands-on experience and academic credit. That outreach connected us with an exceptional student whose contributions helped us standardize development workflows, reduce manual effort, and build scalable systems that continue to support our growing technology platform.

We're now building the next phase.

As our Computer Science & Agentic AI Intern, you'll learn how enterprise application development, cloud infrastructure, automation, and AI-enabled software come together to power a growing business. This isn't a traditional internship focused only on tutorial projects or isolated coding assignments. You'll gain hands-on experience with real, appropriately scoped systems while learning how ideas move through an enterprise-grade agentic delivery lifecycle - from requirements and architecture through code review, testing, infrastructure, deployment, observability, and continuous improvement.

If you're curious, enjoy solving complex problems, and want to help shape the future of enterprise software and agentic AI, we'd love to meet you.

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What You'll Learn

Throughout your internship, you'll gain practical experience in:

• Enterprise application and software development
• Translating business processes into technical requirements
• Git, pull requests, code review, and collaboration in GitHub Enterprise
• Automated testing, continuous integration, and continuous delivery
• Infrastructure as code with Terraform Enterprise
• Cloud application patterns across AWS, Cloudflare, and Azure
• APIs, databases, data flows, identity, and secure access
• Agentic AI concepts, tool use, context, evaluation, and guardrails
• Model Context Protocol integrations and MCP server design
• Logging, monitoring, observability, and incident learning
• Technical documentation and architecture decision records
• Responsible, secure, and maintainable software delivery

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What You'll Work On

You'll collaborate with our technology team to:

• Develop and improve in-house web applications, services, and APIs
• Help modernize systems using modular, cloud-native, and service-oriented patterns
• Build and refine automated workflows in GitHub Enterprise
• Learn how Terraform Enterprise provisions and governs infrastructure across cloud environments
• Create agentic AI capabilities that help staff find information and perform work through chatbot experiences
• Explore model-agnostic integrations for AI ecosystems such as ChatGPT, Claude, Grok, and others
• Build, document, and responsibly surface public MCP servers
• Add authentication, permissions, rate limits, logging, and safety controls to integrations
• Improve test coverage, deployment reliability, security, and observability
• Map operational workflows into clear application logic and data flows
• Present demonstrations, document lessons learned, and contribute to reusable engineering standards

No two weeks will look exactly the same. Projects will be scoped to your learning goals, coursework, and experience, with clear objectives, regular feedback, and opportunities to reflect on what you learned.

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What We're Looking For

We're looking for students who are excited to learn and aren't afraid to ask questions.

Ideal candidates are pursuing a degree or concentration in:

• Computer Science
• Software Engineering
• Information Systems
• Data Science
• Cybersecurity
• Computer Engineering
• Or a related technical discipline

You should also be:

• Curious about enterprise software, cloud platforms, and AI
• Comfortable learning through documentation, experimentation, and feedback
• Interested in both application code and the systems that deliver it
• Organized, dependable, and willing to document your work
• Excited to collaborate and communicate with technical and non-technical teammates

Coursework or personal projects involving programming, data structures, web development, databases, APIs, or Git are helpful. Familiarity with TypeScript, Node.js, Python, Terraform, or cloud services is a plus, but you are not expected to know every tool before you begin.

This is a part-time Fall 2026 internship with a schedule designed around classes. We will coordinate with academic programs when documentation or credit requirements apply.

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Why Class Kills?

At Class Kills, interns don't spend the semester making coffee or watching from the sidelines.

You'll contribute to real, appropriately scoped projects and see firsthand how software supports entertainment, repair, retail, logistics, and internal operations. Your ideas will be heard, your work will have an impact, and you'll leave with practical experience that extends beyond the classroom.

We are becoming a modern, interconnected AI platform where staff can interact with systems through conversational experiences and where new capabilities can be made available across the AI tools people already use. This internship is an opportunity to help build that future using enterprise-grade software engineering, cloud infrastructure, automation, and responsible agentic AI practices.

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Our Hiring Philosophy

We're looking for people who are curious, accountable, and excited to build.

We value initiative over titles, learning over knowing everything, and people who leave every process a little better than they found it.

If that sounds like you, we'd love to hear your story.