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. 

What you’ll do 

• Write Python code for backend AI components 
• Work directly with LLM APIs (OpenAI or similar) 
• Design and test system and user prompts 
• Build simple pipelines for document and text processing 
• Experiment with agent-based reasoning flows 
• Validate AI outputs against real-world scenarios 
• Learn how AI prototypes evolve into production-ready solutions 

What we’re looking for 

• Basic to intermediate knowledge of Python 
• Hands-on experience with LLM APIs 
  (you have used an API key, sent requests, and understand system vs user prompts) 
• General understanding of how Large Language Models work 
• Strong interest in AI, automation, and agent-based systems 
• Willingness to learn, experiment, and take feedback 
• English level sufficient for reading documentation and team communication 

Nice to have 

• Experience with document processing (PDFs, text extraction) 
• Familiarity with JSON and structured data 
• Basic knowledge of FastAPI or Flask 
• AI- or LLM-related pet projects 
• Interest in applied, real-world AI use cases 

Why you’ll enjoy working with us 

• Hands-on experience with real AI products, not tutorial tasks 
• Exposure to how LLM agents are applied to real business problems 
• Mentorship from experienced engineers 
• Clear growth path toward a Junior Python / AI Engineer role 
• Flexible schedule and remote-friendly environment 
• Supportive team culture focused on learning, ownership, and quality 

If you’re excited about Python and want to start your career working with LLM agents on real-world projects, we’d love to hear from you!