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Extremenetworksvia Lever
SR PROGRAMMER 10515- Workato Integration & AI Automation Developer
BangalorePosted 1d ago
OtherSeniorFull-time
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About the Role
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.
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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