Salesforce Developer - Agentforce

RYZ Labs· Argentina· lever· publisert 02.04.2026
Må ha:JavaScriptPythonJavaReactNode.jsGitAWSAzureGoogle CloudCloudFrontendFullstackCI/CDAI
RYZ Labs is looking for an experienced Salesforce Developer to join one of our clients’ teams. In this role, you will design, build, and deliver scalable Salesforce solutions by translating complex business requirements into high-impact technical implementations. You will work closely with consultants, architects, and stakeholders, with a strong focus on developing next-generation AI-driven capabilities, including Agentforce.   Qualifications: 5+ years of Salesforce development with deep expertise in Apex, LWC, SOQL, and Salesforce APIs Hands-on Agent force and Data Cloud experience, including real implementations Apex-based integration experience connecting Salesforce to external platforms via REST and SOAP Working knowledge of machine learning concepts and AI tooling (Python, LangChain, OpenAI API, Azure OpenAI, or similar) Experience with Einstein AI, Models API, or other Salesforce-native AI features Proficiency in Salesforce CLI for metadata operations, scratch org management, and deployment workflows Experience with Salesforce org migrations, including metadata dependency management and environment-to-environment syncing Proficiency in JavaScript and at least one front-end framework (React preferred) Familiarity with CI/CD practices and Git-based version control Strong written and verbal communication in English Desired Qualifications: Salesforce certifications, particularly AI Specialist or AI Associate Exposure to cloud infrastructure (AWS, Azure, or Google Cloud) Background in additional languages or frameworks (.NET, Java, Node.js, Python/Django) Experience with MCP server development or AI agent frameworks Key Responsibilities: Design, build, and deploy custom Salesforce solutions using Apex, Lightning Web Components, and Salesforce APIs. You will write integrations that connect Salesforce to external systems via REST and SOAP, and own that work from architecture through production. Implement Agentforce and Data Cloud solutions. This means standing up agents, grounding them with real customer data, and building the architecture that makes AI features reliable in an enterprise context. Apply machine learning and generative AI techniques alongside Salesforce work. You have worked with LLMs, Python-based ML libraries, or AI frameworks and can bring that thinking into how you scope and build Salesforce features. Build full stack. You are comfortable in JavaScript and React beyond what Salesforce requires, and you can contribute to front-end work when a project needs it. Contribute technically on customer calls. You will gather requirements, explain architectural