AI Engineering Intern, Summer 2026

Prosper • San Francisco, CA

2d • Hybrid

About The Position

The mission At Prosper, we are moving away from rigid, static software toward Intent-Driven Orchestration. Whether it’s a customer-facing portal or a high-stakes internal workspace, we believe professional tools and web pages should be fluid—adapting in real-time to the user's intent rather than forcing them to navigate "problem tentacles" and cluttered screens. You will help build the engine that translates complex company knowledge into immediate, successful actions across all our platforms. Your role in our mission You will build at the intersection of Large Language Models (LLMs) and actionable code. Your goal is to move beyond "chat" and build systems that have the context and the "hands" to solve problems autonomously or in partnership with a user.

Requirements

• Must be at least 18 years of age
• Must be enrolled in an accredited college or university
• Must be fully available (M-F, 40 hours per week) from mid-June through mid to late August 2026
• Must be able to travel to the SF office on Wednesdays and Thursdays
• Able to provide own housing for the duration of the internship program in the SF Bay Area
• Must have reliable transportation to/from work
• Python
• Java
• Experience with Function Calling, and orchestration frameworks (e.g., LangGraph or Vertex AI Reasoning Engine).
• High proficiency in using AI coding assistants to navigate complex deployments and optimize system architecture.

Responsibilities

• Build and use MCP (Model Context Protocol) Servers to securely bridge the gap between large models and our internal/external data ecosystems.
• Develop advanced RAG pipelines that transform vast, evolving documentation into a dynamic "Source of Truth" for real-time decision-making.
• Engineer workflows that prioritize relevancy over frequency, ensuring that both internal professional tools and external web pages surface the right data at the right time.
• Deploy and optimize these services using Vertex AI, ensuring high-speed execution, privacy, and robust security.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed