Prosper
Fintech
AIEngineeringIntern,Summer2026
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Engineering Intern, Summer 2026 at Prosper. Skills: Large Language Models, Actionable code, System Connectivity, Knowledge Synthesis. Build MCP Servers. Bridge gap between large models and data”
Industry & Context.
Solve problems autonomously
Able to provide own housing, Reliable transportation
What They're Looking For.
Must Have
Must be at least 18 years of age, Must be enrolled in an accredited college or university, Must possess unrestricted work authorization, Must be fully available mid-June through mid to late August 2026, Must be able to travel to the SF office on Wednesdays and Thursdays
Nice to Have
Experience with Function Calling, Experience with orchestration frameworks, High proficiency in using AI coding assistants
What You'll Do.
Bridge gap between large models and data
Develop RAG pipelines
Transform documentation into Source of Truth
Deploy services using Vertex AI
Optimize services using Vertex AI
How You'll Work.
Team & Collaboration
Agile development methodology; Communication; Teamwork
Process & Methodology
Agile
Full Job Description
## Description 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. ## How you'll make an impact System Connectivity: Build and use MCP (Model Context Protocol) Servers to securely bridge the gap between large models and our internal/external data ecosystems. Knowledge Synthesis: Develop advanced RAG pipelines that transform vast, evolving documentation into a dynamic "Source of Truth" for real-time decision-making. Fluid Interface Logic: 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. GCP Implementation: Deploy and optimize these services using Vertex AI, ensuring high-speed execution, privacy, and robust security. ## Skills that will help you thrive Languages: Python, Java AI Specialization: Experience with Function Calling, and orchestration frameworks (e.g., LangGraph or Vertex AI Reasoning Engine). AI-Literacy: High proficiency in using AI coding assistants to navigate complex deployments and optimize system architecture. ## Eligibility requirements Must be at least 18 years of age Must be enrolled in an accredited college or university Must possess unrestricted work authorization ## Additional information Must be fully available (M-F, 40
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