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Software Engineering SMTS - LLM Gateway

Salesforce - California - San Francisco; Washington - Bellevue

Posted May 14, 2026

Benefits

Parental leave
26 weeks From the posting source checked Jun 20, 2026
Non-birth-parent leave
12 weeks From the posting source checked Jun 20, 2026
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Source-linked checked May 7, 2026
Salary
$179K-$246K From the posting source checked Jun 20, 2026
401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

82% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Company stage
Public-company From the posting source checked Jun 20, 2026
Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

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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