Forward Deployed Engineering Intern

About Workato

Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business.

Why Join Us?

Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. We also believe in balancing productivity with self-care, offering a vibrant and dynamic work environment along with a multitude of benefits.

Workato has been recognized by:

• Business Insider as an “enterprise startup to bet your career on”
• Forbes’ Cloud 100 as one of the top 100 private cloud companies in the world
• Deloitte Tech Fast 500 as the 17th fastest growing tech company in the Bay Area, and 96th in North America
• Quartz as the #1 best company for remote workers

About the Role

We are seeking a motivated and detail-oriented intern to join the Forward Deployed Engineering (FDE) team to support intelligent automation initiatives powered by Workato Agentic AI. This role focuses on designing and implementing AI-driven agents that autonomously orchestrate workflows, make contextual decisions, and streamline enterprise processes across business systems.

As an intern, you will gain hands-on experience building AI-powered automation solutions that combine large language models (LLMs), APIs, and enterprise integrations.

Responsibilities

• Assist in building AI agents using the Workato Agentic AI platform.
• Support development of intelligent workflows that leverage LLMs for reasoning, summarization, classification, and decision-making.
• Configure integrations between enterprise systems (e.g., Salesforce, Workday, ServiceNow, Slack, etc.) to enable agent-driven automation.
• Help test, validate, and optimize agent workflows for accuracy, performance, and reliability.
• Monitor agent performance and assist in troubleshooting integration or model-related issues.
• Stay updated on advancements in AI, LLMs, and automation technologies.

Requirements

• Currently pursuing a degree as Bachelor of Technology or Bachelor of Engineering.
• Basic understanding of APIs, REST, webhooks, and SaaS platforms.
• Familiarity with JSON and data mapping concepts.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.

Nice to Have

• Experience with prompt engineering or working with LLM APIs.
• Basic scripting knowledge (JavaScript or Python).
• Understanding of automation patterns, RAG concepts, or event-driven architectures.
• Strong interest in AI agents, intelligent orchestration, and enterprise automation.