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SR PROGRAMMER 10515- Workato Integration & AI Automation Developer

BengaluruOn-siteSenior

Older listing - lower visibility likelyPosted 49d ago

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  • On-site in Bengaluru.

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  • 4-7 years asked. Machine Learning Engineer roles in Bengaluru usually ask 4-8; three quarters ask 4+.

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  • Not a repost. 2 of Extreme Networks's last 60 posts were reposts; 29 of its 40 open roles are here.

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The job post

356 words · from Extreme Networks's careers site

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.

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