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
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
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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