Full-Stack Software Engineer, AI-Powered Internal Tools

About Campus

Campus is on a mission to accelerate the talent of tomorrow and reimagine what college can (and should) be. The problem is clear: college costs have skyrocketed, but outcomes haven’t. Traditional college hasn’t kept up with the aspirations of today’s students—and they can’t afford to wait.

At Campus, we’ve built a two-year, accredited college where students learn from top professors at universities like Princeton, Stanford, and Howard, in live, online classes. Our students graduate with in-demand business and AI skills—ready to launch their careers or transfer to top four-year universities. Our unique approach is grounded in a pioneering technology platform and a heavily-researched student success model that offers students dedicated advisors and on-demand tutoring and coaching. We were also named one of Fast Company's Most Innovative Companies of 2024.

We’re backed by an exceptional investor team that believes deeply in our vision for the future of education, including General Catalyst, Founders Fund, Bloomberg Beta, 8VC, Rethink Education, Sam Altman, Jason Citron, Shaquille O’Neal, and others.

The world has changed. Higher ed needs to catch up, and we’re leading the way - come join us!

About the role

We're looking for a product-minded full-stack engineer who is excited about building software quickly, working directly with users, and using modern AI tools to dramatically increase development velocity.

At Campus, we're rethinking how internal software gets built in the age of AI coding. We believe the combination of AI-assisted development, close collaboration with end users, and rapid iteration enables small teams to build highly effective software tailored to specific operational workflows.

In this role, you'll work directly with admissions, financial aid, course design, and student success teams to build purpose-built internal tools that help them work more effectively. You'll spend time understanding how teams operate, identifying opportunities for automation and workflow improvements, and rapidly turning those insights into production software.

Success in this role looks less like building machine learning models and more like shipping useful internal products every week. We are looking for engineers who use AI to accelerate software development and workflow automation.

You’ll join a fast-moving team at a moment where AI is reshaping software and operational workflows across the company. The role offers significant ownership, mentorship, and the opportunity to grow quickly while building systems that have real impact at scale.

You’re excited about this opportunity because you will…

• Build full-stack applications used daily by admissions, course design, financial aid, and student success teams

• Develop conversational workflows, copilots, dashboards, and operational automation systems

• Build custom software that replaces manual processes and legacy systems with purpose-built tools for specific teams

• Work directly with internal teams to understand workflows and rapidly ship improvements

• Prototype new ideas quickly using modern AI tooling and coding agents

• Experiment constantly with new workflows, interfaces, and operational tooling patterns

• Contribute across the stack — frontend, backend, AI workflows, and infrastructure

• Help define how a modern engineering team uses AI to build and ship products faster

We’re excited about you because…

• You're a strong full-stack engineer who enjoys building end-to-end products

• You regularly use tools like Claude Code, OpenAI Codex, subagents, superpowers, custom MCPs and skills, and you have been reinventing your development process multiple times in the past 6 months.

• You have 1-3 years of software engineering experience

• You’re highly product-minded and enjoy solving real operational problems

• You move quickly and are comfortable working in ambiguous environments

• You care about shipping useful software and iterating based on feedback

• You enjoy working closely with users and learning their workflows deeply

• You’re curious about how AI changes software development itself