Python Intern (LLM Agents)

We are opening two Python Intern positions for two different AI-driven projects. Both roles are backend-focused and involve hands-on work with LLM APIs and agent-based reasoning, but each project operates in a different business domain. Depending on your interests and skills, you will be assigned to one of the projects. Project 1: InsurTech AI — LLM Reasoning Engine. This project is an early-stage InsurTech startup building an AI-powered backend platform for property insurance claims. The current phase is Milestone 1 (POC) of the core estimating engine. The goal is to replace manual scope-of-work creation with estimator-level AI reasoning. The system: Ingests roof measurement reports (e.g., EagleView, Hover); Processes insurance claim documents; Extracts structured data; Generates accurate roof replacement scopes with 90%+ parity to senior human estimators. This phase is strictly backend-only. UI, pricing logic, workflows, and exports are intentionally out of scope. The focus is on LLM agents, prompt engineering, and reasoning quality. Project 2: LLM Agents for Automation. This project focuses on building and experimenting with LLM-based agents for automation and internal tooling. You will work on: Integrating LLM APIs into Python services; Designing multi-step agent workflows; Experimenting with prompt structures and response validation; Converting unstructured text into structured outputs; Improving reliability and predictability of LLM-driven logic. This project is more experimental and learning-oriented, ideal for candidates who want to deeply understand how LLM agents work in practice.