SALESFORCE AI ENGINEER
Summary
A Salesforce AI Engineer role in Bengaluru focused on enterprise Salesforce implementations and integrations, writing Apex/Triggers, and adopting AI-powered dev tools (Copado AI, GitHub Copilot, Cursor, Claude) plus Agentforce automation, with unit/integration testing and Agile/Scrum delivery. Salary expectation stated as ₹12 LPA.
Salesforce AI Engineer
Summary
Responsibilities
- Architect and execute comprehensive Salesforce integrations and large-scale enterprise implementations.
- Design and develop custom solutions using Apex, Triggers, and other core Salesforce development languages.
- Lead the adoption and configuration of AI-powered development environments, including Copado AI, GitHub Copilot, Cursor, and Claude.
- Implement and manage Agentforce capabilities to automate workflows and enhance user experiences.
- Conduct rigorous unit and integration testing to guarantee system reliability and performance.
- Collaborate within Agile/Scrum teams to deliver high-quality software solutions on schedule.
- Optimize existing Salesforce architectures to incorporate emerging AI features and best practices.
Requirements
- Possess 4 to 6 years of professional experience in Salesforce development and implementation.
- Demonstrate proven expertise in Salesforce Integrations and Enterprise Salesforce deployments.
- Proficiency in Apex programming, including the creation of Triggers and custom logic.
- Strong background in Agile/Scrum methodologies and software delivery lifecycles.
- Hands-on experience with Unit & Integration Testing frameworks and practices.
- Familiarity with AI-enhanced development tools such as Copado AI, GitHub Copilot, Cursor, and Claude.
- Knowledge of Agentforce and its application within the Salesforce ecosystem.
- Salary expectation: ₹12 lpa.