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  1. Home/
  2. Salary/
  3. LLMOps Engineer/
  4. Austin

LLMOps Engineer.

Austin.

$183,000

median salary, 3% above the national average

$139,000 to $239,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

A LLMOps Engineer in Austin earns a median of $183,000 in 2026. That is 3% above the national average. The range runs from $139,000 to $239,000, 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.

Salary range

25th Percentile

$139,000

per year

Median

$183,000

per year

75th Percentile

$239,000

per year

Tap to place your salary

$139,000$239,000

How Austin compares

Austin, TX

$183,000

Cost of living: 3% above average

National Average

$178,000

Austin is $5,000 above

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 $183,000, 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 $139,000 to $239,000. 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 Austin

TechnologySemiconductorsClean EnergyHealthcareGovernment

Negotiating in Austin

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.

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 $139,000. Candidates with relevant internships, certifications, or portfolio work often negotiate closer to the median of $183,000. 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 $139,000 to $239,000 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

Los Angeles$210,000
Miami$199,000
Minneapolis$187,000
New York$228,000
Nashville$178,000
Philadelphia$194,000

Other salaries in Austin

Operations Manager$95,000
Occupational Therapist$89,000
Optometrist$132,000
Optical Character Recognition Engineer$160,000

Related

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