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) - MuleSoft Certified Developer (MCD) certification preferred - 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