Software Engineering MTS - Full-Stack/Agentic AI Engineer

Salesforce•San Francisco, CA

1d•$117,200 - $194,000•Hybrid

About The Position

Salesforce is seeking a Software Engineering MTS - Full-Stack/Agentic AI Engineer to join their Agentforce engineering team in San Francisco or Bellevue. This role involves owning products end-to-end on an advanced AI platform, building intelligent tools for the next generation of AI agents. The engineer will ship full-stack features alongside ML engineers, UX experts, and product managers, focusing on execution and learning. The position emphasizes building scalable full-stack applications, iterating on AI agent tooling with modern frameworks and LLM-backed workflows, contributing to multi-agent systems, and shipping high-quality, production-grade software with AI integrated into the development workflow. The role also involves designing and orchestrating complex systems for seamless AI agent integration into human workflows.

Requirements

Deep knowledge of OOP (Java or Python) with proven fullstack ability — comfortable owning UI (React/TypeScript), APIs, and backend services within the same product
Hands-on experience building on agentic platforms (Agentforce, LangChain, AutoGen, CrewAI, or similar) including prompt engineering, RAG patterns, and tool/function calling for generative AI applications
A demonstrated, genuine AI-first approach to engineering — using AI tools (e.g., Claude Code, GitHub Copilot, Cursor) to move faster, build fluency across the stack, and contribute well beyond your core specialty
A related technical degree required.

Nice To Haves

Prior experience with multi-agent interaction, task planning, and LLM orchestration
Experience building UI that surfaces AI-generated content — streaming responses, agent traces, and tool call visualization
Experience with model evaluation, agent observability, and LLM output quality frameworks
Familiarity with Agile/TDD practices and experience supporting production customer escalations

Responsibilities

Architect, design, and ship scalable full-stack applications on the Agentforce platform — owning everything from backend API and data modeling to polished, responsive UI experiences
Build and iterate on AI agent tooling using modern agentic frameworks and LLM-backed workflows, contributing to platform-level multi-agent systems and interaction patterns
Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code
Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale