About The Position

We're looking for a software engineering intern to help build the Root Bind MCP server: a Root-hosted server that lets consumer AI agents (like Meta's muse) quote, customize, and hand off auto insurance policies through our Bind API. You'll work alongside the AI Enablement team to ship real, production-quality code in Python, build agent tooling, and help make our service discoverable to the emerging agent ecosystem. This is a hands-on, AI-native role. We expect you to use AI coding assistants as a core part of how you work, you'll be using AI to help build the AI platform itself. Root is a “work where it works best” company. This means we will support you working in whatever location that works best for you across the US.

Requirements

  • Currently pursuing a degree in Computer Science, Engineering, or a related field.
  • Comfortable writing code in Python (or strong fundamentals in a similar language and eagerness to learn Python).
  • Familiarity with APIs, HTTP, and version control (Git).
  • Curious, self-directed, and comfortable working with AI coding assistants.
  • Strong written communication, much of this work is documented and reviewed asynchronously.

Nice To Haves

  • Experience with LLM APIs, agents, or tool-calling / function-calling.
  • Familiarity with MCP, FastAPI, Docker, or cloud platforms (AWS).
  • A personal or class project that shows you build things end-to-end.

Responsibilities

  • Implement and test MCP (Model Context Protocol) tools in Python and FastMCP that cover the quote lifecycle, coverages, legal disclosures, handoff, and post-handoff readback.
  • Integrate with Root's Bind API against a sandbox environment, including token handling and async operations.
  • Build and run an agent evaluation suite (golden-path transcripts) that proves an AI agent can drive the full quote flow reliably.
  • Help make the server discoverable, MCP Registry, /.well-known/mcp.json, and llms.txt, and write tool documentation that agents can use without external docs.
  • Participate in code review, design discussions, and team rituals, and present your work at the end-of-internship showcase.
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