Software Engineering SMTS - LLM Gateway

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Source-linked last checked May 7, 2026

Salary

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked May 7, 2026.

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Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

Software Engineering SMTS - LLM Gateway California - San Francisco; Washington - Bellevue Agents and LLMs are a fast evolving technology. 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. As a team deeply embedded in LLM infrastructure, we are looking for backend Software engineer, who enjoys a fast-paced environment, can deliver incrementally, and think creatively. You will work on cutting edge LLM technologies from different vendors, 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 on the basis of 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 of the features. Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level) Make/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 preferably Java, or at least one object-oriented compiled, statically-typed language (C++, C#) Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows Distributed systems and cross-service designs Experience with

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