Full Stack AI Developer

Position Type: Full-Time | Remote Working Hours: Must overlap at least 4 hours with U.S. Pacific Time About the Role 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. Key Responsibilities 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. Required Experience & Skills 5+ years of professional full-stack development experience with production systems. 2+ years of experience building data pipelines, data warehouses, and LLM-powered applications. Strong experience with SQL and cloud data warehouses such as BigQuery, Snowflake, or PostgreSQL. Experience with dbt or equivalent data modeling tools , orchestration, and monitoring. Strong experience building REST APIs and webhook integrations. Hands-on experience…