Freelance Full-Stack Developer - Next.js & Laravel/Vue (AI-Assisted Workflow)
Job Description
ArcPath Studio is seeking a freelance full-stack developer to contribute across Next.js and Laravel/Vue projects. This remote, project-based position operates within an AI-assisted workflow to accelerate delivery while upholding solid software quality. You will collaborate on client-facing apps and admin portals, delivering production-ready features in a fast-paced environment.
Responsibilities
- Work across two main stacks: Next.js (TypeScript, Tailwind) for client-facing apps and admin portals
- Laravel + Vue + Inertia for full-stack application work
Requirements
- Demonstrable experience shipping production apps in either stack, or strong depth in one stack with proven competence in the other
- Proficiency with AI tools to accelerate development, including assistants like Claude Code and Cursor, and the ability to leverage them without compromising quality
- Solid fundamentals: clean, maintainable code, sensible architecture, and the judgment to correct AI output when needed
- Reliable communication and the ability to work independently against a spec
- Comfort with scoping and estimating discrete pieces of work
Technologies
- Next.js
- TypeScript
- Tailwind
- Laravel
- Vue
- Inertia
- Claude Code
- Cursor
Pay
USD 40.00 - 60.00 per hour
Application questions
- Do you have production experience with both Next.js and Laravel/Vue/Inertia?
- How many years have you shipped production full-stack apps professionally?
- Which AI coding tools do you use in your daily workflow, and briefly, how?
- Are you comfortable working to a client's pre-defined prompting/coding standards rather than your own approach?
- This is project-by-project work with no guaranteed hours. Does that arrangement work for you?
- What is your requested hourly rate (USD)?
How to apply
Send a short introduction, links to relevant work (GitHub, live projects, or portfolio), and a brief note on how you use AI in your development process. Applicants who demonstrate experience in both stacks with concrete examples will be prioritized.