Full-Stack Software Engineer, AI-Powered Internal Tools

Campus•New York, NY

1d•$140,000 - $160,000•Hybrid

About The Position

Campus is seeking a product-minded full-stack engineer to build software rapidly, collaborate directly with users, and leverage modern AI tools to enhance development velocity. The company is rethinking internal software development in the age of AI coding, believing that AI-assisted development, close user collaboration, and rapid iteration allow small teams to create effective software for specific operational workflows. The role involves working with admissions, financial aid, course design, and student success teams to build internal tools that improve their efficiency. This includes understanding team operations, identifying automation opportunities, and quickly developing production software. Success is measured by shipping useful internal products weekly, with a focus on using AI to accelerate development and workflow automation. The engineer will join a fast-paced team, contributing to systems that impact the company at scale, with significant ownership, mentorship, and growth opportunities.

Requirements

Strong full-stack engineering skills with a focus on building end-to-end products
Regular use of AI coding tools such as Claude Code, OpenAI Codex, subagents, superpowers, custom MCPs and skills
Experience reinventing development processes multiple times in the past 6 months
1-3 years of software engineering experience
Highly product-minded with a passion for solving real operational problems
Ability to move quickly and comfort in ambiguous environments
Focus on shipping useful software and iterating based on feedback
Enjoyment of close collaboration with users and deep understanding of their workflows
Curiosity about how AI is changing software development
Excitement about ownership, autonomy, and fast iteration cycles
Must be authorized to work in the U.S. without requiring new H-1B sponsorship. H-1B transfers and TN visas for eligible Canadian and Mexican citizens are supported.

Responsibilities

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