Workato Software Engineering Internship 2025 – Eligibility, Stipend, Last Date & How to Apply

Role Overview

As an Intern in the AI Solutions Services team, you’ll assist in developing and maintaining automation and integration workflows using Workato’s low-code/no-code Agentic AI platform. You’ll get hands-on exposure to modern SaaS platforms and integration tools while supporting real-time business process enhancements.

Key Responsibilities

• Build and test integrations using Workato’s low-code/no-code tools
• Document integration workflows and best practices
• Work with cross-functional teams to define integration requirements
• Monitor, troubleshoot, and resolve integration issues
• Keep up to date with the latest Workato features and automation trends

Qualifications

• Currently pursuing a degree in Computer Science, Information Systems, or equivalent
• Understanding of APIs, webhooks, and cloud-based SaaS platforms (Salesforce, Workday, ServiceNow, etc.)
• Familiarity with REST, JSON, and data mapping concepts
• Excellent analytical and problem-solving skills
• Effective written and verbal communication skills

Preferred Skills & Tools

• Exposure to integration tools like Workato, Zapier, or other iPaaS platforms
• Basic scripting knowledge (JavaScript, Python)
• Interest in AI, automation, and digital transformation
• Experience with agentic AI solutions or RAG systems is a plus
• Familiarity with Large Language Models (LLMs) desirable

Technical Skills

JavaScript, Python, Data Mapping, Salesforce, Workday, ServiceNow, REST, JSON, Workato, Zapier, APIs, Webhooks, Integration Platforms, LLMs, RAG Systems, Automation, System Integration

Why Workato?

• Flexible, ownership-driven culture
• Dynamic work environment with holistic employee benefits
• Globally recognized for innovation and remote-friendly policies

Application Instructions

• Upload your resume/CV and cover letter in PDF/DOC format
• Fill out all required application questions honestly and thoroughly
• Be ready to work full-time during EMEA hours (2:00 PM – 11:00 PM IST)
• Provide insights on your integration platform experience and AI solutions exposure