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Mid-level, popular engineering title in metro Gurugram with broad Salesforce/AI requirements increases candidate competition.
Role demands deep Salesforce/Agentforce platform expertise, limiting cross-industry transferability.
Requires explicit Salesforce, Agentforce, LWC/Apex expertise and certification, raising shortlisting strictness.
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Develop and deploy scalable Salesforce solutions across Sales, Service, Data Cloud, Experience Cloud, and Agentforce AI features targeting enterprise-level automation and personalization.
Lead design and hands-on development of AI-driven workflows, autonomous agent orchestration, and conversational AI within Salesforce ecosystems using Vibe/Agentic coding patterns and components like Flows, LWC, Apex.
Collaborate cross-functionally with product managers, QA, infrastructure, and external vendors to ensure feature prioritization, quality assurance, and smooth deployment aligned with governance and compliance standards.
Bachelor's degree in computer science, information technology, or related field.
4+ years of experience in Salesforce Service and Sales Cloud development including Service and Data Cloud and Agentforce AI orchestration.
Proficiency with Salesforce development tools and frameworks including Flows, LWC, Apex, and AI-driven automation components.
Salesforce PD1 Certification required; PD2 preferred. Knowledge of AI personalization and frameworks such as Einstein Copilot and Agentforce is expected.
Experienced Salesforce developer with proven expertise in AI integration, automated workflows, and enterprise-scale cloud deployments within Service, Sales, and Data Clouds.
Strong technical operator skilled in advanced Salesforce coding patterns (Vibe/Agentic), prompt engineering, AI-driven agent development and secure AI deployment.
Effective at collaborating with multiple stakeholders including product, QA, infrastructure teams and external partners to manage complex feature delivery and maintain code quality.