Software Engineering SMTS - LLM Gateway

Role Overview Einstein GPT Team within AI Platform is building platform services needed to spearhead LLM technology to support Agentforce and AI apps within Salesforce CRM clouds. The team is deeply embedded in LLM infrastructure and is looking for a backend Software Engineer who enjoys a fast‑paced environment, can deliver incrementally, and thinks creatively. The Engineer will work on cutting‑edge LLM technologies from different vendors and deliver CRM and Salesforce integration features. Your impact Build, scale, and maintain critical features of the Einstein platform to provide scale and efficiency. Develop high‑quality, production‑ready code that can be used by millions of users of our cloud platform. Make design decisions based on performance, scalability, and future expansion. Work in a hybrid engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing. Build efficient components/algorithms on a microservice, multi‑tenant SaaS cloud environment. Provide code review, mentoring junior engineers, and technical guidance (depending on seniority). Participate in critical decisions that attribute to the success of the platform. Basic qualifications and skills 5+ years of development experience as a software engineer. Strong experience with backend development in Java, or at least one object‑oriented, compiled, statically‑typed language such as C++ or C#. Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor) in development workflows. Experience with distributed systems and cross‑service designs. Experience with cloud infrastructure such as AWS or GCP and scalable system architecture. Proficiency in data processing and working with APIs (e.g., REST). Bachelor's or Master’s degree in Computer Science, Software Engineering, or related STEM field with strong competencies in algorithms and data structures. Strong verbal and written communication skills. Experience in test‑driven development focusing on unit, integration, and end‑to‑end automation. Ability to support/resolve production customer issues with debugging and problem‑solving skills. Experience with developer tools such as Git, Kubernetes, Terraform, Spinnaker is a plus. Accommodations If you need a reasonable accommodation during the application or recruiting process, please submit a request via the Accommodations Request Form. Posting Statement Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination with all employees and applicants. All hiring decisions are made 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 other classifications protected by law. Know your rights: workplace discrimination is illegal. Compensation 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 employees live well, including time‑off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and employee stock‑purchasing program. The typical base salary range for this position is $148,500–$223,900 annually. In select cities within the San Francisco and New York City metropolitan areas, the base salary range is $178,900–$246,000 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. #J-18808-Ljbffr salesforce.com, inc.