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