Zuntra is hiring an AI Agent & Automation Intern. This article outlines the role’s core responsibilities — building and managing AI agents on platforms like CustomGPT and ChatGPT, designing automated workflows with Zapier, Make, and Google Apps Script — and the requirements candidates must meet, including familiarity with AI platforms, workflow tools, APIs/webhooks basics, problem-solving skills, and communication.
Responsibilities — what the intern will do
The AI Agent & Automation Intern will work across platforms and teams to create, deploy, and maintain automation that supports internal operations. Key responsibilities include:
- Build and manage AI agents using platforms like CustomGPT, ChatGPT, or similar.
- Design and automate workflows using tools such as Zapier, Make (Integromat), and Google Apps Script.
- Collaborate with operations and tech teams to identify automation opportunities and implement AI solutions.
- Monitor and maintain AI agent performance and report insights.
- Explore and implement new no-code and low-code tools to improve efficiency.
- Document automation pipelines and provide support during internal deployments.
Requirements — the skills and background sought
Successful candidates will combine technical familiarity with collaborative and analytical abilities. The position requires:
- Familiarity with AI platforms (ChatGPT, CustomGPT) and workflow automation tools (Zapier, Make).
- Basic understanding of APIs, webhooks, and data triggers.
- Strong problem-solving skills with a logical and analytical mindset.
- Interest in emerging AI trends and hands-on learning.
- Good communication skills and ability to collaborate with cross-functional teams.
- Prior experience with no-code tools or a portfolio of automation projects is a plus.
In summary, the AI Agent & Automation Intern role at Zuntra centers on building and managing AI agents, designing and automating workflows, collaborating with operations and tech teams, monitoring agent performance, exploring no-code/low-code tools, and documenting pipelines while supporting deployments. Candidates should be familiar with AI platforms and workflow tools, understand APIs/webhooks basics, possess problem-solving and communication skills; prior no-code experience is a plus.
