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A forward-thinking company is in search of a skilled MuleSoft Developer to join their remote team. This role offers the opportunity to design and develop integration solutions that connect Salesforce with various enterprise systems, while also contributing to innovative AI-powered projects. The ideal candidate will have extensive experience in MuleSoft development and Salesforce integration, alongside a passion for leveraging AI technologies. Join a dynamic environment where your contributions will drive seamless data flow and enhance automation efforts across multiple platforms. If you are ready to make an impact in a collaborative setting, this position is perfect for you.
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We are seeking a skilled and motivated MuleSoft Developer with experience in Salesforce integration and a working understanding of AI technologies. In this fully remote role, you will design, develop, and maintain integration solutions using MuleSoft Any point Platform, ensuring seamless data flow between Salesforce and other enterprise systems. The ideal candidate will also contribute to AI-powered data transformation and automation efforts.
Job Title: MuleSoft Developer – Salesforce Integration & AI (Remote)
Location: Remote (Global applicants welcome)-Any of the European Country
Duration: 12 months Contract
Key Responsibilities:
· Design, develop, and maintain integration solutions using MuleSoft Any point Platform.
· Implement and manage APIs to connect Salesforce with external systems.
· Collaborate with cross-functional teams including Salesforce Admins, AI Engineers, and Data Analysts.
· Optimize and troubleshoot existing integrations for performance and reliability.
· Support the integration of AI/ML components such as chatbots, predictive models, or intelligent workflows.
Qualifications:
· 3+ years of experience in MuleSoft development.
· 2+ years of hands-on Salesforce integration experience.
· Proficient in MuleSoft Any point Studio, API Designer, and API Manager.
· Strong knowledge of RESTful and SOAP web services, JSON, XML, and RAML.
· Experience with AI services such as OpenAI, AWS AI/ML, or Einstein AI is a plus.
· Familiarity with CI/CD pipelines (e.g., Jenkins, GitHub Actions) for deployment automation.
· MuleSoft certification (e.g., MuleSoft Certified Developer – Level 1 or Level 2 ) is needed.