Software Engineering MTS - Full-Stack​/Agentic AI Engineer

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Software Engineering

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.

• 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

• Deep knowledge of OOP (Java or Python) with proven fullstack ability — comfortable owning UI (React/Type Script), APIs, and backend services within the same product
• Hands‑on experience building on agentic platforms (Agentforce, Lang Chain, Auto Gen, 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, Git Hub Copilot, Cursor) to move faster, build fluency across the stack, and contribute well beyond your core specialty
• A related technical degree required

• 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

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.

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.

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