Software Engineer

Loop•Columbus, OH

3d•$125,000 - $165,000•Hybrid

About The Position

Loop is looking for a full-stack Software Engineer to contribute directly to the design, development, and maintenance of our core products. You'll build scalable solutions, uphold technical excellence, and be a reliable partner to the engineers around you. Engineering at Loop is AI-first; not aspirationally, but operationally. Every engineer is provisioned with Claude Code and Cursor, and we expect AI agents to be your default starting point before you open a file. The role has shifted: you are not primarily a writer of code. You are the judgment layer. You are the person who determines what should be built, validates that what was built is correct, and owns the outcome in production. AI handles a growing share of implementation. You own everything that surrounds it.

Requirements

2-4+ years building web applications, backend services, or APIs.
You use AI agents as your default starting point and can describe your actual workflow: how you plan a task, prompt an agent, evaluate the output, and decide where to spend your review time.
You've caught AI-generated code that looked right but wasn't. You treat it the same as code from any other source: you own what ships, regardless of how it was generated.
You have a point of view on where AI helps and where it gets engineers into trouble, and you can speak to both from real experience.
You care about well-tested, reliable software and have worked in agile, CI/CD environments.
You operate with intensity and hold a high bar; for your own work and for the people around you. You give direct feedback, ask for help early, and respond to setbacks with ownership rather than withdrawal.
You can share examples of learning from mistakes, asking for help, and growing through feedback.

Nice To Haves

Experience with PHP/Laravel, AWS Serverless, or Vue.js is a strong plus, but not required.

Responsibilities

Design, build, and maintain web applications, APIs, backend services, and lambdas for the Loop product line.
Match the level of rigor to the stakes. Craftsmanship doesn't mean polish everywhere; it means fit for purpose.
Start with the agent, not the editor. Invest time in planning and intent articulation; the quality of your prompt is the quality of your output.
Review AI-generated code with the same rigor you'd apply to any code. Plausible is not the same as correct.
Include meaningful test coverage in every PR and contribute to a healthy CI/CD process.
Collaborate closely with engineers, product managers, and designers. Don't wait for someone else to make the connection; own the outcome in ambiguity.
Exhibit ownership: done means stable in merchant hands, not just merged. Flag risks early, make reversible decisions fast, and iterate.
Make the system around you more effective, not just your own output. Whether that's raising the quality bar in code review, surfacing a pattern you're seeing in support tickets, or flagging a cross-team dependency early, contributing beyond your immediate scope is part of the job at every level.