Full Stack AI Developer

We are looking for a senior Full Stack AI Developer to lead the development of an internal AI-powered operating platform.

You will work across data engineering, API integrations, AI/LLM applications, dashboards, automation, and modern web development. You will help design the architecture, build production-ready systems, and improve the platform based on real business needs.

This is a high-ownership role for someone who can propose solutions, make technical decisions, and take projects from idea to production.

Data & Platform Development

• Build and maintain a centralized data warehouse using SQL and modern data tools.
• Develop a shared metrics layer so business metrics are consistently defined across dashboards.
• Build data pipelines, models, monitoring, and automated reporting.
• Connect data from multiple business systems into a centralized platform.

API Integrations & Automation

• Build and maintain REST API and webhook integrations with platforms such as ServiceTitan, Dialpad, Brex, Ramp, QuickBooks Online, payroll, Google Ads, and other business systems.
• Develop event-driven automations that monitor business processes and trigger alerts when requirements are missed.
• Build automated checks and scorecards for operations, payroll, accounting, and marketing.

AI & LLM Development

• Build AI-powered assistants that can answer business questions using company data.
• Develop retrieval, text-to-SQL, semantic layers, agents, and tool-use workflows.
• Design prompts, evaluations, guardrails, and systems that control AI cost and latency.
• Build AI applications that are reliable enough for real users and business operations.

Dashboards & Web Applications

• Build dashboards for operations, sales, finance, marketing, and customer service.
• Develop modern web applications using TypeScript/JavaScript and React or similar technologies.
• Build backend services using Node.js or Python.
• Support future customer-facing applications for booking, payments, invoices, job photos, and service history.

Security & Infrastructure

• Implement secure authentication, OAuth/SSO, role-based access, secrets management, and audit logging.
• Follow least-privilege access and appropriate PII handling practices.
• Support CI/CD, infrastructure-as-code, monitoring, and production reliability.
• Build systems that are properly documented and supported with runbooks.