Develop custom Apex logic and Lightning Web Components (LWC) to extend agent capabilities
Integrate external systems via REST/SOAP APIs
Apply prompt engineering best practices for performance, tone, safety, and accuracy
Ensure AI governance, security, and compliance using Salesforce Einstein Trust Layer
Define scalable AI architecture within Salesforce ecosystem
Implement data governance and security policies for AI-driven workflows
Collaborate with Solution Architects, Data Architects, and Business Stakeholders
Follow DevOps best practices using Salesforce DX, CI/CD pipelines
Conduct code reviews, testing, and performance tuning
Requirements
Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related field
5+ years of Salesforce development experience
Hands-on experience with Salesforce AgentForce implementation
Strong knowledge of: Agent Builder; Topics & Actions; Prompt Builder; Einstein AI; Salesforce Flows; Apex & LWC; Salesforce APIs; Data Cloud; Einstein Trust Layer
Solid understanding of: Generative AI concepts; Large Language Models (LLMs); Agentic AI frameworks; Prompt engineering; RAG architecture; AI safety & governance; Model evaluation techniques
Required Certifications (Mandatory)
Salesforce Platform Developer I & II; Salesforce AI Specialist; Salesforce AgentForce Specialist; Salesforce Data Cloud Consultant; Salesforce Application or System Architect; AI/ML certification from recognized institutions (e.g., AWS AI Specialty, Azure AI Engineer Associate, Google Professional ML Engineer)
Must have knowledge of Apex & Lightning Web Components (LWC); Flows & Automation; REST API Integrations; Prompt Engineering; Generative AI Architecture; Agentic Workflow Design