Full Stack Developer
6 hours ago
Full Stack Developer (with Dashboard 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 , 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, preferably in dashboard or platform development
- Strong experience in both front-end and back-end development
- Proficiency with , 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: , React, and TypeScript
- Backend: .NET / C# / ASP.NET Core (Primary), or
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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