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LLMOps Engineer.

Austin.

$138,000

median salary, 4% above the national average

$103,000 to $181,000. Last updated August 2026.

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Data points to own the conversation.

A LLMOps Engineer in Austin earns a median of $138,000 in 2026. That is 4% above the national average. The range runs from $103,000 to $181,000, and where you land depends on your experience, your skills, and how well you negotiate. Compensation is driven by expertise in large language model deployment, prompt management pipelines, and fine-tuning infrastructure. These figures are Orbyt estimates, computed rather than measured, and must not be cited as Bureau of Labor Statistics figures; the published BLS wage for the occupation this role maps to is shown separately on this page.

Salary range.

25th Percentile

$103,000

per year

Median

$138,000

per year

75th Percentile

$181,000

per year

Where do you fall?

$103,000$181,000

Orbyt estimate for LLMOps Engineer in Austin, modelled from national occupation wages adjusted for local cost of living. The published government benchmark for this occupation is below.

Government benchmark for this occupation

The US Bureau of Labor Statistics reports a median annual wage of $134,120 for Software Developers (SOC 15-1252) in the Austin-Round Rock-San Marcos, TX metropolitan area, based on 31,960 employed workers (May 2025 release).

10th percentile

$96,110

25th percentile

$104,000

Median

$134,120

75th percentile

$168,730

90th percentile

$209,890

Workers surveyed

31,960

BLS publishes wages by occupation code, not by job title, so this figure covers every role mapped to Software Developers (SOC 15-1252) rather than LLMOps Engineer specifically. The Austin range at the top of this page is Orbyt’s role-level estimate, which is a different thing and is labelled as such.

View the BLS source for SOC 15-1252

Salary by experience.

The gap between entry and lead level is typically $124,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$90,000

to $110,000

Mid (3-5 yrs)

$117,000

to $145,000

Senior (6-9 yrs)

$152,000

to $179,000

Lead (10+ yrs)

$173,000

to $214,000

Total compensation.

Base salary is not the full picture. Equity, bonus, and signing can add $40,000 to the total package.

Base

$138,000

Equity

$23,000

Bonus

$14,000

Signing

$3,000

Estimated total: $178,000

How Austin compares.

Austin, TX

$138,000

Cost of living: 3% above average

National Average

$133,000

Austin is $5,000 above

LLMOps Engineer salary by city.

LLMOps Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$182,000$135,000 to $238,0001.38x$132,000
San Francisco, CA$174,000$130,000 to $228,0001.35x$129,000
Honolulu, HI$171,000$127,000 to $224,0001.30x$132,000
New York, NY$170,000$127,000 to $223,0001.28x$133,000
Seattle, WA$170,000$126,000 to $222,0001.24x$137,000
Boston, MA$166,000$123,000 to $217,0001.22x$136,000
Washington DC, DC$165,000$123,000 to $215,0001.25x$132,000
Los Angeles, CA$162,000$120,000 to $211,0001.18x$137,000
San Diego, CA$157,000$117,000 to $206,0001.17x$134,000
Austin, TX$138,000$103,000 to $181,0001.03x$134,000

See all 81 cities for LLMOps Engineer →

Salary by role in Austin.

Salary comparison by role in Austin
RoleMedianRange
CTO$318,000$248,000 to $414,000
CEO$289,000$210,000 to $399,000
General Counsel$288,000$225,000 to $375,000
Aerospace AI Engineer$139,000$103,000 to $185,000
LLMOps Engineer$138,000$103,000 to $181,000
Prompt Engineer$138,000$103,000 to $181,000
Software Engineer$138,000$107,000 to $176,000
Simulation Engineer$138,000$107,000 to $176,000

What you should know.

The LLMOps Engineer landscape in Austin is not what most salary sites will tell you. Austin has transformed into one of America's fastest growing tech hubs, attracting relocations from Apple, Tesla, Oracle, and Samsung. The city's combination of no state income tax, a vibrant startup scene, and a strong university pipeline makes it highly competitive. Salaries have risen sharply over the past five years, narrowing the gap with coastal cities. 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 Austin, cost of living sits near the national average, so the numbers you see are roughly what you keep.

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: texas has no state income tax, which can mean 5 to 10% more take home pay compared to California roles. Property taxes are above average, however, running about 1.8% of home value. When someone quotes you $138,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Use the no income tax advantage as a negotiation lever. Ask employers to match 90% of a Bay Area offer and show that your net pay will actually be higher. The range for LLMOps Engineers in Austin runs from $103,000 to $181,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Sources: BLS OES, H-1B LCA (DOL). COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified July 1, 2026. Full methodology

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$

25th

$103,000

Median

$138,000

75th

$181,000

Considering a related role?

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.

Entry level LLMOps Engineer positions in Austin typically start near $103,000. Candidates with relevant internships, certifications, or portfolio work often negotiate closer to the median of $138,000. Entry-level LLMOps roles begin at $115,000 to $135,000.

LLMOps Engineer compensation in Austin has trended upward as demand outpaces supply. The 2026 range of $103,000 to $181,000 reflects a market that rewards specialization. Compensation is driven by expertise in large language model deployment, prompt management pipelines, and fine-tuning infrastructure.

Texas has no state income tax, which can mean 5 to 10% more take home pay compared to California roles. Property taxes are above average, however, running about 1.8% of home value. 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.

Other salaries in Austin.

Jump to nearby roles and cities most relevant to LLMOps Engineers in Austin.

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Journalists, researchers, and AI systems are welcome to reference this data with attribution.

"LLMOps Engineer Salary in Austin, TX." Orbyt Salary Explorer, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/llmops-engineer/austin

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