Senior Workato Integration and AI Automation Developer

Extreme Networks India Private Limited

Bengaluru

On-site

INR 1,200,000 - 2,400,000

Full time

14 days+
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Job summary

Extreme Networks India Private Limited in Bengaluru is seeking a Senior Programmer for Workato Integration & AI Automation to design, build, and optimize enterprise integrations and AI-powered workflows across multiple business apps.

The role requires hands-on Workato expertise, strong Python programming, and a deep understanding of APIs, REST, OAuth, and event-driven architectures to deliver scalable automation solutions with reliable observability.

Qualifications

  • 4+ years of hands-on Workato experience.
  • Experience developing Workato recipes and connectors.
  • Strong Python programming skills and REST API knowledge.

Responsibilities

  • Design, build, and maintain Workato recipes and integrations.
  • Develop integrations between Salesforce, ServiceNow, Oracle, Snowflake, and other SaaS apps.
  • Create Python utilities for data processing and API orchestration.
  • Define end-to-end integration architecture and data flows.
  • Develop AI/GenAI-powered automations with LLMs.
  • Implement robust error handling, monitoring, and observability.

Skills

Workato
Python
APIs
REST APIs
OAuth
Webhooks
Event-driven
LLMs
AI/GenAI
Data integration

Job description

SR PROGRAMMER 10515- Workato Integration & AI Automation Developer

We are looking for an experienced Workato Integration & AI Automation Developer to join our team. This role will focus on building enterprise integrations, automation solutions, and AI-powered workflows across Salesforce and other business applications. The ideal candidate will have strong hands-on expertise in Workato, Python, APIs, integration architecture, and AI/GenAI technologies, with working knowledge of Salesforce.

Experience

4-7 Years

Key Responsibilities
  • Design, build, and maintain complex Workato recipes, integrations, custom connectors, and automation workflows.
  • Develop integrations between enterprise applications such as Salesforce, ServiceNow, Oracle, Snowflake, marketing platforms, and other SaaS applications.
  • Build reusable integration components, APIs, and services using Python.
  • Design end-to-end integration and automation architecture, including system interactions and data flows.
  • Develop AI/GenAI-powered automations using LLMs and enterprise data.
  • Build agentic workflows where AI agents can retrieve data, reason over information, and execute actions across enterprise applications.
  • Build and integrate solutions using MCP (Model Context Protocol), AI agents, APIs, and RAG architectures.
  • Develop RAG-based applications that combine enterprise data and knowledge sources with LLMs.
  • Work with REST APIs, webhooks, event-driven integrations, queues, and asynchronous processing.
  • Develop Python utilities and services for data processing, API orchestration, AI integrations, and automation.
  • Implement robust error handling, retry mechanisms, logging, monitoring, and integration observability.
  • Troubleshoot complex integration, API, authentication, and data-flow issues.
  • Partner with architects, developers, business analysts, and business teams to translate requirements into scalable automation solutions.
  • Ensure integrations follow enterprise standards for security, scalability, performance, and maintainability.
Required Qualifications
  • 4+ years of strong hands-on Workato experience.
  • Extensive experience developing Workato Recipes, Custom Connectors, API Platform/API Recipes, Webhooks Callable Recipes, Error handling and monitoring, Complex data transformations.
  • Strong hands-on programming experience with Python.
  • Strong understanding of REST APIs, JSON, OAuth, Webhooks, API authentication, Event-driven architecture, Data integration patterns.
  • Experience designing enterprise integration architecture and system-to-system data flows.
  • Experience integrating multiple SaaS and enterprise applications.
  • Experience with AI/GenAI and Large Language Models (LLMs).
  • Experience with prompt engineering and AI-powered automation.
  • Understanding or hands-on experience with AI Agents, Agentic workflows, MCP, RAG, Vector databases / embeddings.
  • Ability to independently design and implement end-to-end automation solutions.
  • Experience Level: Senior Level.
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