Software Engineering SMTS - LLM Gateway100 Salesforce, Inc. • San Francisco, California, United States

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Software Engineering SMTS - LLM Gateway

100 Salesforce, Inc.

San Francisco, California, United States

San Francisco, California, United States

Jetzt Bewerben

Über

Job Overview The LLM Gateway team within Salesforce's AI Platform is building the foundational infrastructure that powers Agentforce and AI capabilities across Salesforce's CRM clouds—working with cutting‑edge large language models from providers including OpenAI, Anthropic, and Google. Based in San Francisco, CA or Bellevue, WA (hybrid), you will join a team at the heart of LLM integration, building platform services that reach millions of users worldwide. Responsibilities Build, scale, and maintain critical Einstein Platform features that power AI‑driven experiences for millions of Salesforce customers with a focus on performance, scalability, and future expansion. Build and ship high‑quality, production‑grade software using modern engineering practices, with AI as a core part of the development workflow—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 across a microservice, multi‑tenant SaaS environment. Contribute to all phases of the SDLC—design, implementation, code reviews, testing, and automation—while mentoring engineers and helping shape technical direction. Requirements 5+ years of software engineering experience with strong backend development skills in Java, or another object‑oriented, compiled, statically‑typed language (C++, C#). Demonstrated, genuine AI‑first approach to engineering—using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty, including experience with AI coding tools (e.g., ClaudeCode, GitHubCopilot, Codex, Cursor). Experience with distributed systems, cloud infrastructure (AWS or GCP), scalable system architecture, and working with APIs (e.g., REST). Strong test‑driven development practices and the ability to support and resolve production issues through solid debugging and problem‑solving skills. Related technical degree required. Preferred Qualifications Knowledge of AI/ML frameworks and experience working with large language models (e.g., OpenAI, Anthropic, Gemini). Familiarity with developer tools such as Git, Kubernetes, Terraform, or Spinnaker. Advanced prompt engineering skills and the ability to write precise, structured prompts that make AI outputs reliable, secure, and production‑ready. Benefits Time‑off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and employee stock purchasing program. See https://www.salesforcebenefits.com for more details. Accommodations If you need a reasonable accommodation during the application or recruiting process, please submit a request via this Accommodations Request Form. Salesforce uses artificial intelligence tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process—humans make all selection and hiring decisions.See our Candidate Privacy Statement for more information about how we use your personal data and your rights. Equal Opportunity and Legal Notice Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. We believe in equality for all and create inclusive workplaces free from discrimination. We assess and hire based on 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 any other classification protected by law. This policy applies to recruiting, hiring, compensation, promotion, benefits, training, evaluation, discipline, termination, and all other employment factors. Recruiting, hiring, and promotion decisions are fair and based on merit. In the United States, compensation offered is determined by location, job level, and related factors. The base salary range for this position is $148,500‑$223,900 annually; in select cities within the SanFrancisco and NewYorkCity metropolitan areas, the range is $178,900‑$246,000 annually.
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San Francisco, California, United States

Sprachkenntnisse

English

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