AI Intern

Job Description

AI Automation Intern | Vimo

The Tone:
This is an AI Automation Intern internship at Vimo, offered in a hybrid work setting. Vimo stands as a national leader dedicated to state-based health insurance exchanges and safety-net transformations, leveraging enterprise-grade SaaS platforms to power mission-critical systems. The company partners with state agencies nationwide, serving millions of people daily by expanding access to affordable health coverage and modernizing the delivery of essential human services, including Medicaid, SNAP, TANF, child care, child support, child welfare, and unemployment insurance. This internship offers a unique opportunity to contribute to this mission by building AI-powered tools and automation solutions that significantly improve internal workflows and productivity within the product team, specifically making product management and release management work more efficient.

The TL;DR
• Role: Internship
• Type: Flexible (4-6 months)
• Location: Hybrid

• Team: Product team
• Mission: Build AI-powered tools to improve internal workflows and make product and release management more efficient.
• Tech Stack: Python, JavaScript, SQL, APIs, AI tools, Large Language Models (LLMs), workflow automation platforms

What You’ll Actually Do
• Development: Assist in developing AI-powered tools and automation solutions.
• Process Improvement: Help improve internal workflows and operational processes.
• Research & Implementation: Research, evaluate, and implement emerging AI technologies.
• Data Support: Support data analysis, reporting, and process optimization initiatives.
• Collaboration: Collaborate with engineering, product managers, and business teams on high-impact projects.

The Must-Haves
• Background: Undergraduate students in their final year of study, Master’s students, or recent graduates pursuing a degree in Computer Science, Engineering, Data Science, Information Systems, Business Analytics, or a related field.
• Experience: This role requires a genuine interest in AI, automation, and productivity tools, along with a demonstrated ability to work independently.
• Skills: Strong analytical and problem-solving capabilities, and the capacity to quickly learn and adapt to new technologies are essential.
• Bonus: Prior experience with Python, JavaScript, SQL, or APIs is preferred. Familiarity with AI tools, Large Language Models (LLMs), or workflow automation platforms is a plus. Relevant personal, academic, or hackathon projects demonstrating technical initiative are highly valued.