Full Stack Developer (AI & Automations)

Full Stack Developer (AI & Automations) We’re looking for a proactive and skilled Full Stack Developer to support an AI consulting company with the delivery of client automation, AI, and software projects.

You’ll join a team of non-technical founders as the technical expert, taking ownership of feasibility reviews, solution design, and high-quality implementation.

If you enjoy solving business problems with clean code, scalable automations, and well-structured systems, we’d love to hear from you.

Hours : 20 hours / week Time Zone : ACDT — 12 PM to 4 PM, Monday to Friday Start Date : ASAP Monthly Salary : $700 - $900 (negotiable, depending on experience)   What You’ll Do Review proposed builds for businesses that have been audited Assess the feasibility of each proposed solution and provide a scope on the estimated effort, timeline, and requirements.

Build approved solutions such as :   AI chatbots and custom AI agents CRM data sync and migration tools Internal dashboards and automation utilities   Implement automations using Make.com, n8n, or Zapier Write clean, efficient, and maintainable code across the chosen tech stack Ask clarifying questions early to avoid misalignment Provide structured updates and communicate blockers quickly   Skills & Experience Must-Haves 3+ years of professional coding experience Strong front-end and back-end development experience Ability to extend no-code tools with code when limitations arise Proficiency with no-code automation tools, such as Make.com , n8n or Zapier Experience building automation workflows, APIs, and custom integrations Ownership mindset and ability to work independently Strong communication, interpersonal skills, and ability to translate technical explanations for non-technical founders Preferred Tech Stack Frontend : Next.js , React, and TypeScript Backend : .NET / C# / ASP.NET Core, Node.js (used for certain client projects)   Nice-to-Haves Python (especially for AI-related tasks) Experience with databases such as PostgreSQL, SQLite, MongoDB, or vector DBs Understanding of GoHighLevel (GHL) Background working with professional services clients (finance, mortgage, consulting) — not mandatory Powered by JazzHR