Salesforce Developer – Agentforce & Claude AI
Role Overview
Rapid Cloud seeks an experienced Salesforce Developer with Salesforce platform development expertise and hands-on experience building AI-powered solutions using Agentforce and Claude-based capabilities.
The role designs, develops, integrates, and deploys scalable Salesforce solutions combining CRM, generative AI, automation, and intelligent agents.
Key Skills for This Role
Full Job Posting
Role overview
Rapid Cloud seeks an experienced Salesforce Developer with Salesforce platform development expertise and hands-on experience building AI-powered solutions using Agentforce and Claude-based capabilities.
The role designs, develops, integrates, and deploys scalable Salesforce solutions combining CRM, generative AI, automation, and intelligent agents.
Key responsibilities
- Build Salesforce solutions with Apex, LWC, SOQL/SOSL, Flows, and APIs; configure Agentforce agents, topics, actions, prompts, and workflows.
- Develop AI-powered Salesforce experiences and integrate Claude/Anthropic capabilities for conversational AI, content generation, summarization, classification, and automation.
- Create custom Agentforce actions and integrations using Apex, Flow, APIs, Platform Events, Named Credentials, OAuth, external services, and middleware.
- Use Salesforce Data Cloud to provide trusted context to agents; create reusable prompts and contextual AI workflows.
- Apply security, sharing, permissions, data access, and governance controls; develop maintainable code and optimize performance and scalability.
- Write unit tests, take part in code reviews and release activities, troubleshoot issues, and collaborate across product, business, architecture, data, and development teams.
- Stay current with Salesforce releases and developments in Agentforce, Data Cloud, generative AI, and the Salesforce AI ecosystem.
Required skills and experience
- At least 2 years of hands-on Salesforce Developer experience.
- Strong proficiency in Apex, LWC, SOQL/SOSL, Salesforce Flows, REST/SOAP APIs, Salesforce security and sharing, and deployment and DevOps practices.
- Hands-on Salesforce Agentforce implementation, including agents, topics, instructions, actions, prompt templates, Apex/Flow actions, and AI-driven automation.
- Experience with Claude/Anthropic or Claude-based enterprise AI, including API integration, prompt engineering, or orchestration.
- Understanding of LLMs, prompt engineering, RAG, grounding, context management, and AI agent architecture.
- Experience integrating Salesforce with external applications and AI platforms; understanding of Salesforce data architecture and data security.
- Experience with Salesforce DX, Git, CI/CD, and deployment tools; strong analytical, troubleshooting, and communication skills.
Preferred qualifications
- Salesforce Platform Developer I/II, Administrator, AI Associate, Data Cloud Consultant, or Platform App Builder certifications are preferred.
- Salesforce Data Cloud and AI grounding, Anthropic Claude or other enterprise LLM APIs, and middleware such as MuleSoft or Boomi are preferred.
- JavaScript/TypeScript, responsible AI, data privacy, AI security and governance, and Agile/Scrum experience are preferred.
Key competencies
- Salesforce platform development, Agentforce, Claude/Anthropic AI integration, generative AI and LLMs, prompt engineering, and AI agents.
- Salesforce Data Cloud, Apex and LWC, API and system integration, automation and workflow design, AI governance and security, and CI/CD and DevOps.
Success outcomes
Help transform Salesforce into an AI-enabled business platform by using Agentforce and Claude-based capabilities to automate processes and improve employee productivity. The source description ends mid-sentence after this point.
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