Lead Salesforce Full Stack AI Engineer

📋 Description

• Design, build, and ship full-stack features end-to-end — UI, APIs, business logic, data models, and
• Build modern frontend experiences (component-based UI, responsive design) and robust backend
• Use AI-assisted development tools — Cursor, Claude Code, Codex, GitHub Copilot, or similar —
• Design and implement integrations using REST APIs, event-driven patterns, and enterprise
• Where the work runs on Salesforce, develop using Lightning Web Components (LWC), Apex, SOQL/SOSL
• Explore and build agentic and AI-powered features (e.g., Agent Builder, workflow automation, AI

🎯 Requirements

• 12+ years of professional full-stack software engineering experience — strong fundamentals across
• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical
• Proficiency in modern frontend technologies (JavaScript/TypeScript, HTML, CSS, modern frameworks)
• Hands-on, daily experience using AI-assisted coding tools such as Cursor, Claude Code, Codex
• Solid grounding in software design patterns, SDLC, Agile methodologies, Git, and CI/CD practices.
• Strong analytical and problem-solving skills, with the ability to independently design and deliver

🎁 Benefits

• A true engineer at heart: someone who can reason about architecture, write clean code, and diagnose
• Genuinely AI-native: you reach for Cursor, Claude Code, or Codex by default, and use them to build
• Curious and adaptable — comfortable picking up new platforms (including Salesforce, Mulesoft)
• Ownership mindset: you drive features to done, care about quality, and elevate the engineers around
• Excited about applying AI meaningfully to real business problems — automation, decision support
• Take ambiguous business problems and turn them into production solutions.