AI Internal Tools & Automation Engineer (Insurance Company) - (Part-time)

The AI Internal Tools & Automation Engineer (Insurance Company) will be responsible for building, maintaining, and continuously improving the company's internal operating platform using AI-assisted development tools, automation platforms, APIs, and backend technologies. This is a hands-on implementation role focused on turning business requirements into practical internal tools, including an employee portal, searchable knowledge base, task-management system, role-based dashboards, and operational reporting. The AI Automation Specialist will configure integrations, automate workflows, manage backend data, test and deploy solutions, and ensure appropriate security and access controls are incorporated throughout the platform. This is not a traditional full-stack engineering role requiring a complete application to be coded from scratch. The ideal candidate is comfortable using AI-assisted development and low/no-code tools to build reliable solutions while knowing when more complex architecture or security decisions require senior engineering support.

Responsibilities

Build and maintain internal web tools using AI-assisted development platforms such as Claude, Cursor, Replit, or similar solutions; Develop an employee portal that centralizes handbooks, SOPs, reference materials, and searchable company documentation; Build task-management functionality that allows employees to view, assign, manage, and complete operational work; Develop role-based dashboards that provide employees and leadership with relevant operational information; Build automated workflows using platforms such as Make, Zapier, n8n, or similar tools; Create workflows that convert incoming customer emails into trackable and assignable tasks; Connect email, telephony, policy and agency data, reporting sources, and other business systems through APIs and integrations; Build dashboards that provide actionable visibility into operational performance; Configure and maintain backend services using Supabase or similar platforms; Implement secure authentication and role-based access across internal tools; Test internal tools, workflows, integrations, and dashboards before deployment; Identify and resolve functional issues, workflow failures, and data inconsistencies

Requirements

Proven experience building internal web tools, applications, dashboards, or operational systems using AI-assisted development tools; Hands-on experience building and maintaining business automations and integrated workflows; Experience connecting business systems through APIs and managing data between multiple platforms; Experience configuring backend services, databases, authentication, and access controls; A portfolio or concrete examples of previously built tools, dashboards, applications, or automation systems is required; Able to use AI-assisted development tools such as Claude, Cursor, Replit, or comparable platforms to translate requirements into functional internal tools and applications; Comfortable building business automations with Make, Zapier, n8n, or similar workflow automation platforms; Able to configure Supabase or comparable backend and database platforms, including data modeling, authentication, and access management; Experienced in connecting email, telephony, reporting, and other business systems through APIs and integrations; Understands authentication, role-based access controls, and secure handling of sensitive employee and customer information; Able to translate non-technical business requirements into clear technical specifications, workflows, and prompts; Comfortable building operational dashboards and reporting systems that transform business data into actionable information; Able to test, troubleshoot, deploy, and maintain internal tools and automated workflows with a strong focus on reliability; Capable of independently owning systems and projects while recognizing when architecture or security requirements should be escalated for senior technical review

Nice to have

Experience working within insurance, financial services, or another regulated or data-sensitive environment; Familiarity with agency tools such as RingCentral, eAgent, or AgencyZoom; Experience developing AI-powered data parsing or structured-output workflows; Experience building role-based dashboards or applications with permission-based access