Engineer LLM Application

$137,674 (USD)/yr

$66.19 (USD)/hr

$5,948 (USD)/yr

The average engineer llm application gross salary in Gardnerville, Nevada is $137,674 or an equivalent hourly rate of $66. This is 2% lower (-$2,658) than the average engineer llm application salary in the United States. In addition, they earn an average bonus of $5,948. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Gardnerville, Nevada. An entry level engineer llm application (1-3 years of experience) earns an average salary of $96,780. On the other end, a senior level engineer llm application (8+ years of experience) earns an average salary of $156,378.

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Salary Potential

$156,528 (USD)

14 %

Based on our compensation data, the estimated salary potential for Engineer LLM Application will increase 14 % over 5 years.

Education

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City Overview

Gardnerville, Nevada

The cost of living in Gardnerville, Nevada is 4% more than the average cost of living in the United States. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

View Cost of Living Page

Gardnerville is an unincorporated town in Douglas County, Nevada, United States, adjacent to the county seat of Minden. The population was 6,211 at the 2020 census. U.S. Route 395 runs through the center of Gardnerville. State Route 207, known as Kingsbury Grade, connects Gardnerville to Stateline and U.S. Route 50.

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This page is an excerpt of the much more complete compensation information available in ERI's Assessor Series.

ERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.

Job Description
Designs, builds, and optimizes production applications powered by large language models (LLMs). Integrates LLMs with internal systems and external services to deliver reliable, safe, and cost-efficient AI capabilities across search, summarization, generation, and agentic workflows. Collaborates with Product, Data, and Platform teams to translate use cases into robust retrieval-augmented generation (RAG) pipelines, evaluation harnesses, and monitoring that meet latency, quality,..., and governance targets. Designs LLM application architectures, including orchestration layers, context construction, and tool/API integrations. Implements retrieval-augmented generation pipelines using embeddings, vector databases, and document chunking strategies tuned to domain content. Engineers prompts, guards, and system instructions; versions prompt assets and curates reusable prompt libraries for common tasks.Read More
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