AI- Enabled Developer

The Liberty Company Insurance Brokers is seeking an AI-enabled developer to build and maintain internal applications, integrations, and automations that support brokerage operations. The role spans full-stack development, AI-powered features, Azure deployment, data access, and production support.

Responsibilities:

• Design, build, and maintain internal web applications, automations, and integrations, using AI coding assistants and agents (for example, Claude Code) as a primary part of the development workflow
• Turn business and operational needs from Operations, Sales, Finance, BI, and other Liberty teams into working software, from first prototype through production release
• Build AI-powered features and assistants on large language model APIs, including tool calling, retrieval over company data, and MCP (Model Context Protocol) servers that give AI assistants safe, scoped access to Liberty systems
• Build and maintain integrations with agency management systems, carrier platforms, document management, Microsoft 365, and other line-of-business tools through their APIs
• Write automated tests, and design evaluations for AI features so their behavior is measured rather than assumed
• Apply sound software engineering practice (code review, version control, pull requests, CI, and documentation) to everything shipped, regardless of how much of it was AI-generated
• Deploy and operate the applications you build on Microsoft Azure (App Service, Entra ID, Key Vault, Application Insights), working with IT on infrastructure, identity, and security
• Write efficient SQL against Liberty’s SQL Server / Azure SQL data warehouse, and partner with the data team on the models, views, and pipelines your applications depend on
• Build role-based access, audit logging, and data handling controls into applications that touch production, sensitive, or regulated data, within Liberty’s security and compliance guardrails
• Monitor, troubleshoot, and improve production applications for performance, reliability, and cost
• Evaluate and responsibly adopt new AI coding tools, models, and agent workflows, and share the practices that raise the team’s development speed and quality
• Help colleagues across the business get more from AI tools, and document reusable patterns, prompts, and skills