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SR PROGRAMMER 10515- Workato Integration & AI Automation Developer

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Before you apply
LocationBangalore
Work modehybrid
Typefull-time
SenioritySenior
Experience4–7 yrs
DepartmentIT, IT
Company size1,001–5,000 people
PostedSep 7, 2026 · 2mo ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
4+ years of strong hands-on Workato experience
Extensive experience developing Workato Recipes
Extensive experience developing Custom Connectors
Extensive experience developing API Platform/API Recipes
Extensive experience developing Webhooks
Extensive experience developing Callable Recipes
Extensive experience with Error handling and monitoring
Extensive experience with Complex data transformations
Strong hands-on programming experience with Python
Strong understanding of REST APIs
Strong understanding of JSON
Strong understanding of OAuth
Strong understanding of Webhooks
Strong understanding of API authentication
Strong understanding of Event-driven architecture
Strong understanding of 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
Understanding or hands-on experience with Agentic workflows
Understanding or hands-on experience with MCP
Understanding or hands-on experience with RAG
Understanding or hands-on experience with Vector databases / embeddings
Ability to independently design and implement end-to-end automation solutions
Skills
Workato
Python
Salesforce
ServiceNow
Oracle
Snowflake
REST APIs
JSON
OAuth
Webhooks
MCP
AI Agents
RAG
LLMs
GenAI
Vector databases
Embeddings
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.
Requirements
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.