SDE II - Salesforce AI

What is the team like?

Salesforce Engineering is part of the Enterprise Systems solutions. This team helps to create and manage the Salesforce tools/modules/workflow for in-house teams like GTM, Sales Manager, Account Managers, Business teams for their day-to-day operations.

Skillset: Salesforce, Apex (Advanced), LWC, Experience Cloud, CI/CD (Copado/GitHub), Event-Driven Architecture, Performance Optimization, Salesforce Einstein / GenAI integrations

What do we expect from you?

Act as a senior salesforce engineer owning design, development, and delivery of scalable Salesforce solutions. Drive AI-powered features, enforce best practices, and mentor team members.

Minimum Qualifications

• Bachelor's degree in Computer Science or related field
• 4+ years of Salesforce development (Lightning Platform)
• Strong expertise in Apex, LWC, SOQL/SOSL, security model
• Experience with LDV, Governor Limits, and CI/CD (Git/GitHub)
• Exposure to AI/GenAI (Agentforce, Einstein, OpenAI, etc.)

Preferred Qualifications

• Salesforce PD2, Agentforce, or relevant certifications
• Experience with Einstein GPT / AI Cloud / Agentforce
• Event-Driven Architecture (CDC, Platform Events), async processing
• CI/CD tools (Copado, Jenkins, etc.)
• Experience with LLM use cases or prompt engineering

Responsibilities

Technical Ownership & Design

• Design scalable solutions across Salesforce Clouds
• Build and integrate AI-powered capabilities (Einstein, GenAI, LLMs)
• Develop advanced Apex frameworks and LWCs
• Optimize performance (Apex, LWC, LDV)
• Implement secure integrations (APIs, AI/ML services)
• Design data models supporting operational + AI use cases

Leadership & Quality

• Own code quality, reviews, and CI/CD releases
• Mentor junior engineers
• Drive solution design balancing declarative, custom, and AI-driven approaches