Intern, Software Engineering

About Workato

Workato is the leading Control and Execution Platform for Enterprise AI.

Key Responsibilities

• Design, build, and test MCP (Model Context Protocol) servers on the Workato platform.
• Enable AI assistants and agents to securely interact with enterprise systems.
• Build and configure MCP servers in Workato, exposing business capabilities as tools that AI clients (such as Claude) can call.
• Develop Workato recipes and skills using connectors for systems like Salesforce, Slack, Jira, Google Workspace, and others.
• Write clear tool names, descriptions, and input/output schemas for AI model selection.
• Test MCP servers end-to-end with AI clients and iterate based on accuracy, error rates, and response quality.
• Implement error handling, input validation, and logging for tool reliability.
• Apply security best practices, including least-privilege access, authentication, and sensitive data handling.
• Use Workato data tables, lookup tables, and connections for state and credential management.
• Document each MCP server (purpose, tools, authentication, example prompts, known limitations).
• Participate in code and recipe reviews, team standups, and demos.
• Complete a capstone project: design and deliver a production-ready MCP server for a real internal use case, and present it to the team.

Requirements & Tech Stack

• Working knowledge of at least one programming or scripting language (Python, JavaScript, or Ruby preferred).
• Understanding of REST APIs, JSON, and basic HTTP concepts.
• Familiarity with core integration concepts: triggers, actions, data mapping, webhooks, and error handling.
• Basic understanding of LLMs and AI assistants and how they use tools.
• Strong problem-solving skills and attention to detail.
• Clear written communication, especially for documentation.
• Ability to learn quickly and work independently with guidance.
• Prior exposure to Workato or another iPaaS or automation tool (Preferred)
• Awareness of the Model Context Protocol specification (Preferred)
• Experience with OAuth 2.0, API keys, and secure credential handling (Preferred)
• Familiarity with SQL or data transformation (formulas, mapping, JSON manipulation) (Preferred)
• Experience with prompt engineering or building LLM-powered projects (Preferred)
• Familiarity with SaaS platforms such as Salesforce, Slack, Jira, or Google Workspace (Preferred)
• Personal projects, hackathon work, or a GitHub portfolio showing integrations or automation (Preferred)

Qualifications

• Currently pursuing or completed a Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.

What You’ll Learn

• Enterprise integration and orchestration patterns on Workato.
• Designing tools that AI agents can use reliably.
• Governance, security, and observability for agentic AI.
• How to take a prototype to a production-ready asset.

Logistics

• Duration: 6 months
• Location: Chennai (Hybrid)
• Commitment: Full-time
• Mentorship: Paired with a senior engineer and a weekly 1:1.