Software Engineering MTS - Full-Stack/Agentic AI Engineer

Salesforce.com, Inc.
San Francisco, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 177K

Job location

San Francisco, United States of America

Tech stack

Java
API
Agile Methodologies
Artificial Intelligence
Cursor (Graphical User Interface Elements)
Python
Object-Oriented Software Development
Software Tools
Software Engineering
TypeScript
GitHub Copilot
React
Large Language Models
Multi-Agent Systems
Prompt Engineering
Model Validation
Backend
Virtual Agents

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.

Even Better If...

  • 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

Benefits & conditions

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.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. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is, $117,200 -

About the company

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Join Salesforce's Agentforce engineering team in San Francisco or Bellevue and own products end-to-end on one of the most advanced AI platforms in the world. You'll build the intelligent tools powering the next generation of AI agents - shipping fullstack features alongside ML engineers, UX experts, and product managers who believe execution and learning go hand in hand. What You'll Actually Be Doing * 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

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