Software Engineer Intern – Agent Commerce

Job not on LinkedIn

🔥 3 minutes ago

🇺🇸 United States – Remote

👨‍🎓 Internship

⚪️ Entry-level

🧑‍💻 Full-stack Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 10%

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Logo of Root Inc.

Root Inc.

1001 - 5000 employees

Founded 2015

🚘 Automotive

💼 Consulting

🛡️ Insurance

💰 $200M Post IPO debt on 2024-11

Automotive • Consulting • Insurance

Root Inc. is an auto insurance company that uses a mobile app and smartphone sensor telematics to measure driving behavior and price policies primarily based on how safely customers drive. The company offers a "test drive" period to gather driving data, provides in-app quotes, policy management, and claims filing, and sells roadside assistance and other coverages across many U. S. states. Root targets consumer drivers (B2C) seeking usage-based insurance and emphasizes savings for safer drivers.

📋 Description

• Implement and test MCP tools in Python and FastMCP covering the quote lifecycle, coverages, legal disclosures, handoff, and post-handoff readback • Integrate with Root's Bind API in a sandbox environment, including token handling and asynchronous operations • Build and run an agent evaluation suite using golden-path transcripts to verify that an AI agent can reliably drive the full quote flow • Make the server discoverable through the MCP Registry, /.well-known/mcp.json, and llms.txt • Write tool documentation usable by agents without external documentation • Participate in code reviews, design discussions, and team rituals • Present work at the end-of-internship showcase • Report to the Engineering Strategy & Operations manager, with day-to-day technical mentorship from a Staff engineer on the AI Enablement team

🎯 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 the work is documented and reviewed asynchronously • Experience with LLM APIs, agents, or tool-calling/function-calling preferred • Familiarity with MCP, FastAPI, Docker, or cloud platforms such as AWS preferred • A personal or class project showing end-to-end development preferred • Must be available for 550 hours over roughly three months • Must be available for part-time hours initially and full-time work during winter break, primarily December • Candidates must be on camera for virtual interviews

🏖️ Benefits

• Flexible, project-based arrangement • Part-time hours that fit around your school schedule to start • Full-time push during winter break (primarily December) • Day-to-day technical mentorship from a Staff engineer on the AI Enablement team • End-of-internship showcase opportunity • Reasonable accommodation during all aspects of the hiring process for qualified applicants with disabilities

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