MuleSoft Developer

VISEO ASIA; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

VISEO ASIA is seeking a MuleSoft Engineer to design, build, and maintain integration solutions on the Anypoint Platform in Singapore. You will focus on API-led connectivity, REST/SOAP APIs, and AI-enabled automation to streamline workflows across systems.

Collaborating with architects and analysts, you will manage API lifecycles, apply security policies, and optimize performance while integrating MuleSoft with LLM services.

Qualifications

• Bachelor’s degree in Information Technology or Computer Science.
• 3+ years hands-on experience with MuleSoft Anypoint Platform.
• Strong knowledge of DataWeave, RAML/OAS, connectors, and error handling strategies.
• Experience with API Manager, CloudHub/Runtime Fabric deployments, and Anypoint MQ.
• Familiarity with MuleSoft AI tooling (MAC, Einstein for MuleSoft, IDP, or AI features) is a strong plus.
• Understanding of REST, SOAP, JSON, XML, and integration design patterns.
• Experience with CI/CD pipelines (Jenkins, GitLab CI) for Mule deployments.
• Working knowledge of cloud platforms (AWS, Azure, or GCP).
• Experience integrating MuleSoft with LLM providers (OpenAI, Claude) for AI-powered automation.
• Exposure to vector databases or RAG (Retrieval-Augmented Generation) patterns.
• Prior experience in Salesforce ecosystem integrations.

Responsibilities

• Design, develop, and deploy APIs and integrations using MuleSoft Anypoint Platform (Anypoint Studio, API Manager, Runtime Manager)
• Build and maintain RESTful/SOAP APIs following API-led connectivity best practices
• Implement MuleSoft AI capabilities such as the MuleSoft AI Chain (MAC) project, Einstein AI integrations, and Intelligent Document Processing (IDP) to automate workflows and enhance data processing
• Leverage Anypoint Code Builder (including AI-assisted development features) to accelerate integration development
• Integrate MuleSoft flows with LLM-based services for use cases like intelligent routing, document extraction, summarization, and conversational interfaces
• Manage API lifecycle including design, security policies, versioning, and deployment (CloudHub, RTF, on-prem)
• Troubleshoot and optimize existing integrations for performance and reliability
• Collaborate with architects, business analysts, and cross-functional teams to translate requirements into scalable integration solutions
• Ensure adherence to security, governance, and compliance standards (OAuth2, TLS, API policies)
• Write technical documentation and maintain integration runbooks

Skills

MuleSoft Anypoint Platform

DataWeave

RAML/OAS

APIs design

REST SOAP

CI/CD

Cloud Platforms

LLM integration

RAG patterns

Salesforce integration

Education

Bachelor’s degree in IT or CS

Tools

Anypoint Studio

API Manager

Runtime Manager

CloudHub

Runtime Fabric

OpenAI integration

GitLab CI

Jenkins

AWS

Azure

GCP

Job description

We're looking for a MuleSoft Engineer to design, build, and maintain integration solutions using the Anypoint Platform. The ideal candidate will have strong API-led connectivity experience and familiarity with MuleSoft's growing AI capabilities, helping us build smarter, more automated integration workflows.

Responsibilities

• Design, develop, and deploy APIs and integrations using MuleSoft Anypoint Platform (Anypoint Studio, API Manager, Runtime Manager)
• Build and maintain RESTful/SOAP APIs following API-led connectivity best practices
• Implement MuleSoft AI capabilities such as the MuleSoft AI Chain (MAC) project, Einstein AI integrations, and Intelligent Document Processing (IDP) to automate workflows and enhance data processing
• Leverage Anypoint Code Builder (including AI-assisted development features) to accelerate integration development
• Integrate MuleSoft flows with LLM-based services for use cases like intelligent routing, document extraction, summarization, and conversational interfaces
• Manage API lifecycle including design, security policies, versioning, and deployment (CloudHub, RTF, on-prem)
• Troubleshoot and optimize existing integrations for performance and reliability
• Collaborate with architects, business analysts, and cross-functional teams to translate requirements into scalable integration solutions
• Ensure adherence to security, governance, and compliance standards (OAuth2, TLS, API policies)
• Write technical documentation and maintain integration runbooks

Profile

• Minimum Bachelors Degree in Information Technology or Computer Science.
• 3+ years of hands-on experience with MuleSoft Anypoint Platform
• Strong knowledge of DataWeave, RAML/OAS, connectors, and error handling strategies
• Experience with API Manager, CloudHub/Runtime Fabric deployments, and Anypoint MQ
• Familiarity with MuleSoft's AI tooling (MAC, Einstein for MuleSoft, IDP, or Anypoint Code Builder AI features) is a strong plus
• Understanding of REST, SOAP, JSON, XML, and integration design patterns
• Experience with CI/CD pipelines (Jenkins, GitLab CI, or similar) for Mule deployments
• Working knowledge of cloud platforms (AWS, Azure, or GCP)
• Strong problem-solving skills and ability to work in agile teams
• Experience integrating MuleSoft with LLM providers (OpenAI, Anthropic Claude, etc.) for AI-powered automation
• Exposure to vector databases or RAG (Retrieval-Augmented Generation) patterns within integration pipelines
• Prior experience in Salesforce ecosystem integrations