SR PROGRAMMER 10515- Workato Integration & AI Automation Developer

Extremenetworks; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Extremenetworks Bengaluru seeks an experienced Workato Integration & AI Automation Developer to design and implement enterprise integrations, automation workflows, and AI-powered solutions across Salesforce and other business apps.

You will leverage Workato recipes, custom connectors, REST APIs, and Python to build scalable data flows, handle errors, and monitor integrations. Experience with AI agents and MCP/RAG concepts is highly valued.

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 with AI Agents, Agentic workflows, MCP, RAG, Vector databases / embeddings.
• >Ability to independently design and implement end-to-end automation solutions.

Responsibilities

• Design, build, and maintain complex Workato recipes, integrations, connectors, and automation workflows.
• Develop integrations between Salesforce, ServiceNow, Oracle, Snowflake, marketing platforms, and other SaaS apps.
• Build reusable integration components, APIs, and services using Python.
• Design end-to-end integration and automation architecture, including 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 apps.
• Build and integrate solutions using MCP, AI agents, APIs, and RAG architectures.
• Develop RAG-based apps combining enterprise data with LLMs.
• Work with REST APIs, webhooks, event-driven integrations, queues, and async processing.
• Develop Python utilities and services for data processing, API orchestration, AI integrations, and automation.
• Implement robust error handling, retry mechanisms, logging, monitoring, and observability.
• Troubleshoot complex integration, API, authentication, and data-flow issues.
• Partner with architects, developers, business analysts, and teams to translate requirements into scalable automation.
• Ensure integrations follow enterprise standards for security, scalability, performance.

Skills

Workato

Python

APIs

Integration architecture

AI/GenAI

LLMs

Tools

Workato Recipes

Custom Connectors

API Platforms

Webhooks

OAuth

REST APIs

Job description

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.