- Build and integrate AI-driven features using Salesforce Einstein including Einstein Copilot, Einstein GPT, Prediction Builder, and Recommendation Builder.
- Implement prompt engineering techniques to optimise AI model outputs within Salesforce workflows and automate business processes.
- Integrate external AI/LLM services (e.g., OpenAI, Anthropic) via REST APIs where applicable, ensuring secure and governed consumption of AI capabilities.
Additional Responsibilities :
- Design, develop, and maintain custom Salesforce solutions (Apex, LWC, Flows, Platform Events) on Sales Cloud and Service Cloud aligned with project AI program requirements.
- Develop and optimize Apex triggers, batch jobs, queueable classes, and REST/SOAP integrations to support end-to-end business processes.
- Collaborate with Solution Architects to translate functional requirements into scalable technical designs and data models.
- Ensure code quality through peer reviews, unit testing (minimum 85% coverage), and adherence to Salesforce best practices and development standards.
- Support data migration, workplace management, and deployment activities using CI/CD tools (e.g., Copado, SFDX, Git).
📌 Senior Salesforce Developer - AI Implementation (India)
🏢 Skyleaf Consultants
📍 India
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