Skip to main content
Orbyt
FeaturesComparePricingToolsDeveloperBlogSupport
Log inBegin

Product

FeaturesEverything Orbyt can doCompareOrbyt vs the competitionPricingPlans and pricing

Tools

Salary ExplorerResearch salaries by role and cityInterview PrepPractice with AI mock interviewsResume ScoreGet your resume scored by AIJob BoardBrowse open positionsAI Skills LabBuild job-ready AI skills

Company

AboutOur story and approachCreedHere’s to the relentless onesDeveloperMCP server and REST APILabsWhat we’re building nextBlogJob search tips and strategySupportHelp articles and guides
BeginAlready have an account? Log in
  1. Home/
  2. Salary/
  3. LLMOps Engineer/
  4. San Francisco

LLMOps Engineer.

San Francisco.

$240,000

median salary, 35% above the national average

$182,000 to $313,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

Here is what LLMOps Engineers actually make in San Francisco: $182,000 at the 25th percentile, $240,000 at the median, and $313,000 at the 75th. That is 35% above the national average. San Francisco is the epicenter of venture capital and startup innovation, consistently producing the highest tech salaries in the nation. The number on your offer letter will depend on what you bring and how you ask.

Salary range

25th Percentile

$182,000

per year

Median

$240,000

per year

75th Percentile

$313,000

per year

Tap to place your salary

$182,000$313,000

How San Francisco compares

San Francisco, CA

$240,000

Cost of living: 35% above average

National Average

$178,000

San Francisco is $62,000 above

What you should know

Before you negotiate a LLMOps Engineer offer in San Francisco, understand the terrain. San Francisco is the epicenter of venture capital and startup innovation, consistently producing the highest tech salaries in the nation. The city's concentration of AI labs, SaaS companies, and fintech firms creates intense competition for talent. Despite remote work trends, SF still commands the steepest salary premiums for engineering and product roles. Compensation is driven by expertise in large language model deployment, prompt management pipelines, and fine-tuning infrastructure. Engineers who can optimize inference costs and latency for production LLM applications earn top-tier packages. Experience with retrieval-augmented generation and evaluation frameworks further increases market value.

Entry-level LLMOps roles begin at $115,000 to $135,000. Mid-career engineers earn $155,000 to $178,000, while senior specialists managing enterprise LLM platforms reach $200,000 to $232,000. Directors of LLM infrastructure can exceed $280,000 in total compensation. In San Francisco, those numbers run higher. The cost of living here is 35% above average, and employers adjust to compete.

Base salary is not the full picture. Equity grants are common, especially at AI-native startups where RSU packages can represent 20 to 40% of total compensation. Annual bonuses range from 10 to 20% of base salary. And on the tax side: california's top marginal state income tax rate is 13.3%, the highest in the U.S. San Francisco has no additional city income tax, but overall tax burden remains steep. When someone quotes you $240,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Leverage competing offers aggressively. SF employers expect candidates to shop around, and matching or beating a rival offer is standard practice here. The range for LLMOps Engineers in San Francisco runs from $182,000 to $313,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Top industries in San Francisco

Software & SaaSArtificial IntelligenceFintechBiotechVenture Capital

Negotiating in San Francisco

Leverage competing offers aggressively. SF employers expect candidates to shop around, and matching or beating a rival offer is standard practice here.

Common questions.

Yes, LLMOps has emerged as a specialized discipline focusing on prompt versioning, context window management, embedding pipelines, and LLM-specific evaluation. This specialization commands a 10 to 15% premium over general MLOps roles.

Production experience with model serving frameworks like vLLM or TensorRT-LLM, cost optimization for GPU inference, and building evaluation pipelines for LLM output quality are the highest-value skills driving salary differentiation.

In San Francisco, large enterprises typically pay LLMOps Engineers 10 to 20% more in base salary than small companies, but startups often compensate with equity that can exceed base salary value. Equity grants are common, especially at AI-native startups where RSU packages can represent 20 to 40% of total compensation. The $182,000 to $313,000 range reflects this entire spectrum.

Lead with data: LLMOps Engineers in San Francisco earn $182,000 to $313,000, so anchoring your ask near $313,000 gives room to land at the median. Leverage competing offers aggressively. SF employers expect candidates to shop around, and matching or beating a rival offer is standard practice here. Never accept the first number without a conversation.

Entry level LLMOps Engineer positions in San Francisco typically start near $182,000. Candidates with relevant internships, certifications, or portfolio work often negotiate closer to the median of $240,000. Entry-level LLMOps roles begin at $115,000 to $135,000.

California's top marginal state income tax rate is 13.3%, the highest in the U.S. San Francisco has no additional city income tax, but overall tax burden remains steep. When comparing offers across states, your take home pay matters more than the number on the offer letter. A lower salary in a no income tax state can net more than a higher one elsewhere.

LLMOps Engineer salary in other cities

Washington DC$223,000
Austin$183,000
Atlanta$182,000
Boston$217,000
Chicago$190,000
Charlotte$173,000

Other salaries in San Francisco

Operations Manager$124,000
Occupational Therapist$116,000
Optometrist$173,000
Optical Character Recognition Engineer$209,000

Related

Salary ExplorerInterview PrepResume ScoreJob Search Guide

Negotiating a LLMOps Engineer offer?

Get a personalized playbook.

Begin.

Product

  • Features
  • Compare
  • Pricing
  • Support

For

  • Career Changers
  • New Graduates
  • Recently Laid Off
  • Senior Professionals
  • Remote Job Seekers
  • Burned Out

Free Tools

  • Interview Prep
  • Resume Score
  • Salary Explorer
  • AI Skills Assessment
  • AI Skills Lab
  • Job Board

Guides

  • Job Search Guide
  • Interview Prep Guide
  • Resume Guide

Compare

  • Orbyt vs Teal
  • Orbyt vs Huntr
  • Orbyt vs Jobscan
  • Orbyt vs LinkedIn
  • Orbyt vs Trello
  • Orbyt vs Notion
  • Orbyt vs Spreadsheets
  • Orbyt vs Simplify
  • Orbyt vs Careerflow
  • Orbyt vs ApplyArc
  • Orbyt vs Jobright
  • Orbyt vs Sprout

Developers

  • API Docs
  • Claude Desktop
  • OpenClaw
  • ChatGPT
  • Apple Shortcuts
  • Zapier

Connect

  • Refer a Friend
  • Recruiter Program

Company

  • About
  • Founder
  • Values
  • Creed
  • Labs
  • Blog

Account

  • Sign In
  • Sign Up
Orbyt

© 2026 Purecraft LLC  All rights reserved.

Privacy·Terms·Security·Accessibility·Status