Salesforce Logo

Salesforce

Software Engineering MTS - Full-Stack/Agentic AI Engineer

Posted 23 Days Ago
In-Office
San Francisco, CA, USA
117K-194K Annually
Mid level
In-Office
San Francisco, CA, USA
117K-194K Annually
Mid level
Design, build, and ship full-stack features for an agentic AI platform. Own backend APIs, data models, and responsive React/TypeScript UIs. Implement LLM-backed multi-agent systems, prompt engineering, RAG patterns, and tool/function calling. Collaborate with ML engineers, UX, and product to integrate AI agents into human workflows and ensure production-grade, secure, and observable deployments.
The summary above was generated by AI

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

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
     

You're Our Person If...

  • 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

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

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 - $176,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $141,200 - $194,200 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

HQ

Salesforce San Francisco, California, USA Office

1 Market, San Francisco, CA, United States, 94105

Salesforce Oakland, California, USA Office

Oakland, United States

Salesforce San Mateo, California, USA Office

San Mateo, United States

Salesforce South San Francisco, California, USA Office

South San Francisco, United States

Similar Jobs

23 Days Ago
In-Office
San Francisco, CA, USA
117K-194K Annually
Mid level
117K-194K Annually
Mid level
Cloud • Software
Design, build, and ship full-stack features on an agentic AI platform, spanning backend APIs, data modeling, and polished React/TypeScript UIs. Develop LLM-backed agent tooling, implement prompt engineering and RAG patterns, orchestrate multi-agent systems, and apply AI-first development practices to deliver secure, production-grade software.
Top Skills: AgentforceAPIsAutogenClaude CodeCrewaiCursorGithub CopilotJavaLangchainPrompt EngineeringPythonRagReactTypescript
An Hour Ago
Hybrid
Palo Alto, CA, USA
Senior level
Senior level
Financial Services
Lead product strategy and vision for Commercial & Investment Bank offerings. Drive discovery, market research, and roadmap prioritization. Own product backlog, launch execution, and key success metrics (cost, features, risk, reliability). Collaborate cross-functionally to ensure scalable, resilient, high-quality client experiences.
An Hour Ago
Hybrid
29-52 Hourly
Entry level
29-52 Hourly
Entry level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Provide personalized patient care in a primary care clinic, perform clinical duties supporting providers, assess and evaluate patient needs, develop and deliver teaching plans, identify departmental improvement opportunities, and assist care coordination.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account