Principal AI Engineer - Agentforce Platform

## Description

We're seeking an AI Engineer to build the tooling and services that enable developers to write, test, and deploy AI Agents efficiently. You'll ship impactful developer experience platforms using advanced Generative AI to create a world-class Agent creation environment. We're data scientists, ML engineers, and software engineers passionate about building intelligent agents that drive customer success 24/7. We love to learn, teach, and collaborate

The Role

You'll be the technical bridge between agent authoring tools and the runtime platform. Design and build AgentScript—the language and tooling for efficient AI Agent development. Own the language translation pipeline and developer tools across IDEs, web editors, and compilation engines.

What You'll Do

• Architect and maintain the processing pipeline (compilers, interpreters, code generators) that transforms source code into executable Agent specifications
• Build client-side tooling for IntelliSense, code completion, validation, refactoring, and diagnostics
• Enable rapid iteration through reverse-engineering specs and integrating simulation/debugging APIs
• Synchronize language grammars, data models, and validation logic across backend (Python) and client-side (TypeScript/JavaScript)
• Collaborate with internal teams to ensure an intuitive, effective developer experience
• Design core libraries for validation, compilation, and language services

Required Skills

• 5+ years software development experience; BS/MS in CS, Software Engineering, or related STEM field
• Deep JavaScript/TypeScript expertise for client tooling and Language Server development; strong Python skills for compilers and backend
• Proven experience with developer tooling, editor integrations, or IDE extensions
• Track record designing robust, decoupled architecture
• Excellent communication and cross-team collaboration skills
• Strong problem-solving abilities

Preferred Skills

• Experience with conversational AI, LLMs, prompt engineering, or AI-enhanced developer productivity
• Knowledge of AI agents, declarative specification languages, or conversational AI
• Experience with simulation/debugging APIs and fast feedback loops
• Expertise in language Intermediate Representations (IRs) and cross-language synchronization
• Compiler pipeline mastery (lexing, parsing, semantic analysis), parser generators (ANTLR4, Tree-sitter), and DSL implementation

For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.