AI Automation Intern

Role Overview

We're looking for an AI Automation Intern to eliminate manual bottlenecks across our hospital onboarding process, add intelligent automation layers to existing product features, and build an end-to-end insurance claims automation pipeline. This is a hands-on, build-and-ship role — you'll work directly with the founding team.

Responsibilities

• Map out current manual steps and recurring blockers in hospital onboarding (data migration, configuration, staff setup, go-live checks)
• Design and build automation scripts/agents to remove or shrink these bottlenecks, supporting our sub-24-hour onboarding target
• Build monitoring/alerting so blockers are flagged before they delay a hospital's go-live
• Work with the product team to identify features that would benefit from an AI layer (e.g., smarter defaults, anomaly detection, auto-suggestions, summarization)
• Prototype and integrate AI capabilities using our existing stack (Gemini 2.5 Flash via Vertex AI)
• Evaluate outputs for accuracy and safety before handing off for production integration
• Automate drafting of business correspondence (emails, follow-ups, clarifications) using LLM-generated templates
• Build automated login and navigation flows for external web portals/applications (RPA/browser automation) to reduce manual, repetitive work
• Automate retrieval and logging of status/data from third-party portals into a centralized, queryable format
• Handle variability across different applications (logins, layouts, session/OTP flows) gracefully, with fallbacks for manual review

Requirements

• Strong Python or Node.js programming fundamentals
• Familiarity with LLM APIs (OpenAI, Gemini, Anthropic) and prompt engineering
• Exposure to browser automation/RPA tools (Playwright, Selenium, Puppeteer, or similar)
• Basic understanding of REST APIs and working with databases (MongoDB preferred)
• Comfortable working with ambiguous, real-world processes and turning them into scripts/systems