Software Engineer Intern – Agent Commerce

Root Inc.

. Implement and test MCP tools in Python and FastMCP covering the quote lifecycle, coverages, legal disclosures, handoff, and post-handoff readback .

Posted 10/6/2026internshipRemote • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in Python programming and familiar with API integration, particularly with LLM APIs and FastAPI. Strong written communication skills and experience in documenting technical processes are essential for effective collaboration and knowledge sharing.

Highest-signal resume keywords

Python ProgrammingAPI IntegrationFamiliarity With FastAPIExperience With LLM APIsVersion Control (Git)

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonAPIHTTPVersion Control (Git)MCPFastAPIDockerCloud Platforms (AWS)Asynchronous OperationsEnd-To-End Development

Soft Skills

CuriousSelf-DirectedStrong Written Communication

Industry Keywords

AI Coding AssistantsAgent Evaluation SuiteQuote LifecycleTool DocumentationCode Reviews

Tech Stack

Tools & technologies

AWSCloudDockerPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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