Full Stack Developer (with AI & Automations experience)

We are looking for a proactive and skilled Full Stack Developer to join an AI consulting firm. In this role, you will be the technical backbone of the company, working alongside non-technical founders to deliver high-impact client projects.

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

Technical Scoping: Review proposed builds for businesses that have been audited. You will assess feasibility and provide structured estimates on effort, timelines, and technical requirements.
Full Stack Development: Build and maintain internal and external dashboards. Examples include compliance tracking portals, financial service utilities, and custom data visualization tools.
AI & Agent Builds: Develop custom AI chatbots and specialized AI agents tailored to specific client workflows.
Automation Engineering: Implement and manage complex workflows using Make.com, n8n, or Zapier, extending these tools with custom code (webhooks, scripts) when they hit their native limits.
Data Management: Handle CRM data syncs, migrations, and database integrations.
Strategic Communication: Translate technical complexities for non-technical founders and provide clear, structured updates on project blockers.

Skills & Experience

Must-Haves

3+ years of professional coding experience.
Strong experience in both front-end and back-end development.
Proficiency with Make.com, n8n, or Zapier, with the specific ability to extend these tools with custom code when necessary.
Proven experience building automation workflows, working with REST APIs, and custom integrations.
Ownership mindset, high level of independence, and excellent interpersonal skills.

Preferred Tech Stack

Frontend: Next.js, React, and TypeScript.
Backend: .NET / C# / ASP.NET Core (Primary), or Node.js.

Nice-to-Haves

Python: Highly valued for AI-related tasks and data processing.
Databases: PostgreSQL, SQLite, MongoDB, or Vector DBs (Pinecone, etc.).
Platforms: Understanding of GoHighLevel (GHL).
Industry Context: Background working with professional services (Finance, Mortgage, or Consulting).

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Full Stack Developer (AI & Automations)

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