Lead Salesforce Full Stack AI Engineer

About the role

Adaptable and deeply curious, you will dive into platforms like Salesforce and MuleSoft while holding an end-to-end ownership mindset to elevate engineering practices and turn ambiguous business challenges into high-quality, reliable production solutions.

What you'll do

• Design, build, and ship full-stack features end-to-end — UI, APIs, business logic, data models, and integrations — with a strong bias for clean, maintainable
• Build modern frontend experiences (component-based UI, responsive design) and robust backend services and APIs
• Use AI-assisted development tools — Cursor, Claude Code, Codex, GitHub Copilot, or similar — throughout the SDLC: scaffolding, refactoring, test generation, debugging
• Design and implement integrations using REST APIs, event-driven patterns, and enterprise integration practices
• Where the work runs on Salesforce, develop using Lightning Web Components (LWC), Apex, SOQL/SOSL, Flows

What you need

• 12–22 yrs of experience
• Salesforce
• Git
• REST APIs
• SQL
• JavaScript
• TypeScript
• B.Sc or B.Tech or B.E. or BCA

Good to have

• Elasticsearch
• CI/CD
• HTML
• CSS
• Data modelling
• Responsive design