AI- Enabled Developer

LIBERTY COMPANY INSURANCE BROKERS LLC•Los Angeles, CA

1d•$100,000 - $140,000•Remote

About The Position

The Liberty Company Insurance Brokers is seeking an AI-enabled developer to design, build, and ship internal applications, integrations, and automations that support the brokerage. The role works across Liberty’s internal platform—including web applications, AI assistants, and tool servers—and connects producers, account managers, and operations teams to data from agency management systems, carrier feeds, document systems, and finance platforms. This is a hands-on software engineering role, not an AI research or systems administration position. The developer will use AI coding assistants and agents as a core part of their workflow while applying engineering discipline to deliver secure, reliable, production-grade software. The work spans SQL, APIs, user interfaces, and deployment and operations on Microsoft Azure. The developer will turn business needs from Operations, Sales, Finance, BI, and other teams into working software, from prototype through production. They will build AI-powered features using large language model APIs, including tool calling, retrieval over company data, and MCP servers that provide AI assistants with safe, scoped access to Liberty systems. The role also involves integrating with business platforms, writing tests and AI evaluations, and following established software engineering practices. The position deploys and operates applications on Azure in coordination with IT, works with SQL Server and Azure SQL data, and incorporates role-based access, audit logging, and data-handling controls. The developer will monitor and improve production applications, assess new AI tools and workflows, share effective practices, and help colleagues use AI tools productively. The role is listed as remote, with a salary range of $100,000 to $140,000 per year.

Requirements

At least 3 years of professional software development experience building and shipping production applications.
Strong proficiency in Python or another modern language such as C# or TypeScript, plus working knowledge of JavaScript, HTML, and CSS for web front ends.
Demonstrated experience using AI coding assistants or agents, such as Claude Code, GitHub Copilot, or Cursor, in a real development workflow, with examples to discuss.
Hands-on experience building with large language model APIs, such as Anthropic Claude or Azure OpenAI, including prompt design, tool calling, and safe handling of model output.
Experience designing and integrating REST APIs, including OAuth 2.0 or OpenID Connect authentication.
Solid SQL skills and experience with relational databases such as SQL Server.
Fluency with Git, pull request workflows, automated testing, and CI/CD.
Strong troubleshooting skills and ability to own an application from requirements through production support.
Clear written and verbal communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders.

Nice To Haves

Experience building or integrating MCP (Model Context Protocol) servers or other agentic tool-calling architectures.
Experience deploying and operating applications on Microsoft Azure, including App Service, Entra ID, Key Vault, and Application Insights, with GitHub Actions.
Experience building evaluations, guardrails, or monitoring for AI features in production.
Experience in insurance, brokerage, or financial services, or with agency management systems such as Applied Epic or AMS360.
Familiarity with data security and privacy requirements relevant to insurance and financial data.
Experience mentoring other developers on AI-assisted development practices.

Responsibilities

Design, build, and maintain internal web applications, automations, and integrations using AI coding assistants and agents as a primary part of the development workflow.
Translate business and operational needs from Operations, Sales, Finance, BI, and other teams into software, from prototype through production release.
Build AI-powered features and assistants using large language model APIs, including tool calling, retrieval over company data, and MCP servers.
Build and maintain API integrations with agency management systems, carrier platforms, document management, Microsoft 365, and other business tools.
Write automated tests and design evaluations to measure AI feature behavior.
Apply code review, version control, pull requests, CI, and documentation practices to shipped software.
Deploy and operate applications on Microsoft Azure in coordination with IT on infrastructure, identity, and security.
Write efficient SQL against SQL Server and Azure SQL data warehouse systems and work with the data team on supporting models, views, and pipelines.
Implement role-based access, audit logging, and data-handling controls for applications that use production, sensitive, or regulated data.
Monitor, troubleshoot, and improve production applications for performance, reliability, and cost.
Evaluate and responsibly adopt AI coding tools, models, and agent workflows, and share practices that improve development speed and quality.
Help colleagues across the business use AI tools and document reusable patterns, prompts, and skills.