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.

Key Responsibilities

• Onboarding Blocker Automation

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

• AI Layer for Existing Features

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

• Cross-Application Automation

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

Required Skills

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

Good to Have

Experience with AWS or GCP (we run on both)

Prior exposure to workflow/process automation in any domain

Experience with OCR/document processing pipelines

Familiarity with WhatsApp Business API or chatbot frameworks

What You'll Gain

Direct ownership of automation systems used across 170+ live hospitals

Mentorship from the founding team on both technical architecture and product thinking

Exposure to the full stack: AI/LLM integration, RPA, backend systems, and healthcare domain workflows

Potential for a full-time offer based on performance

Duration & Compensation

₹15,000 – ₹20,000 per month

Start Date:

Immediate

Duration

: 4-5 months