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Llm Salary Jobs (NOW HIRING)

Uncountable

LLM Applications Engineer

New York, NY · On-site

$130K - $175K/yr

  • Medical

  • Dental

  • Retirement

Salary Range: $125K-$160K + Equity Requirements * 2+ years of software development experience with a focus on full-stack web applications. * Proven experience with LLM orchestration frameworks (e.g ...

SupportFinity™

LLM Applications Engineer

Manhattan, NY · On-site

$130 - $175/hr

New York | San Francisco | Munich | London (In-Person) Employment Type: Full-Time Base Salary: $130,000 - $175,000 Overview We are hiring an LLM Applications Engineer to build and deploy ...

New

Bright Vision Technologies

LLM Prompt Specialist

$100K - $150K/yr

LLM Prompt Specialist Location: 100% Remote (United States) Position Type: Full-time, Direct W2 Salary Range: $100,000-$150,000 Annually Experience: 6+ years Sponsorship: U.S. Citizens, Green Card ...

EnCharge AI

LLM Inference Deployment Engineer

$180K - $240K/yr

About the Role EnCharge AI is seeking an LLM Inference Deployment Engineer to optimize, deploy, and ... The salary range for this position is $180,000 to $240,000 USD ($175,000 to $245,000 CAD) per year.

Whatnot

LLM Platform Engineer

San Francisco, CA · On-site

$245K - $345K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Create robust and scalable LLM evaluation frameworks to measure model performance, guide iteration ... Final salary will be based on a number of factors including, level, relevant prior experience ...

Whatnot

LLM Platform Engineer

San Francisco, CA · On-site

$245K - $345K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Create robust and scalable LLM evaluation frameworks to measure model performance, guide iteration ... Final salary will be based on a number of factors including, level, relevant prior experience ...

Cognizant Technology Solutions

LLM Engineer (Remote)

Louisville, KY · On-site +1

$141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

LLM Engineer About the role As LLM Engineer , you will make an impact by designing, building ... Salary and Other Compensation: Applications will be accepted until September 17th, 2026. The annual ...

New

CVS Health

AI/LLM Engineer

Hartford, CT · On-site

$101K - $203K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking an experienced AI / LLM Engineer to design, develop, and operationalize advanced ... The actual base salary offer will depend on a variety of factors including experience, education ...

Fortinet

Staff Software Development Engineer (LLM)

Sunnyvale, CA · On-site

$196K - $219K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Architect and implement functions to monitor and filter LLM requests/responses in real time ... The US base salary range for this full-time position is $196,500-$219,300. Fortinet offers ...

Nvidia

Senior Software Engineer - TensorRT Edge-LLM

Austin, TX · Hybrid

$121K - $160K/yr

Join NVIDIA's TensorRT Edge-LLM team and help shape the next generation of edge AI for automotive ... The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for ...

WinsAbove

NY · On-site

$167 - $244/hr

Datadog's LLM Observability product enables organizations to monitor, troubleshoot, and optimize ... Datadog offers a competitive salary and equity package, and may include variable compensation.

New

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Llm Salary information

What is an LLM salary?

An LLM salary refers to the average or expected earnings of individuals who have completed a Master of Laws (LLM) degree. Salaries for LLM graduates can vary widely depending on factors such as the area of legal specialization, geographic location, type of employer (law firm, corporation, government), and prior work experience. In the United States, LLM graduates can expect starting salaries ranging from $60,000 to over $180,000 annually, with higher figures typically reported in large law firms or specialized legal fields. International students may experience different salary ranges based on local legal markets. Ultimately, an LLM degree can help enhance earning potential, particularly for those seeking roles in academia, international law, or high-demand specialties.

What are some common challenges faced by professionals working as LLM (Large Language Model) engineers, and how can they be addressed?

LLM engineers often encounter challenges such as managing large-scale data pipelines, optimizing model performance, and ensuring responsible AI use. Balancing computational resource constraints while maintaining accuracy can be demanding, especially when working with massive datasets and complex models. Collaborating closely with data scientists, product managers, and infrastructure teams is essential to streamline workflows and address technical bottlenecks. Staying current with advancements in AI frameworks and model safety practices also helps LLM engineers overcome these challenges and contribute effectively to their teams.

What are the key skills and qualifications needed to thrive as an LLM (Master of Laws) graduate, and why are they important?

To thrive as an LLM graduate, you need a deep understanding of legal principles, advanced research skills, and a recognized law degree, often with an LLM specialization. Proficiency in legal research databases like Westlaw or LexisNexis and, in some regions, bar admission or certification are typically required. Outstanding analytical thinking, communication, and cross-cultural awareness set successful LLM holders apart. These skills enable LLM graduates to interpret complex legal frameworks, advise clients effectively, and succeed in global or specialized legal environments.

What is the difference between Llm Salary vs Data Scientist Salary?

AspectLLM SalaryData Scientist Salary
Required CredentialsMaster's or PhD in AI, Machine Learning, or related fieldsBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentResearch labs, AI companies, tech firmsTech companies, finance, healthcare, consulting
Industry UsageDeveloping and fine-tuning language modelsAnalyzing data, building predictive models
Common Search/ComparisonYesYes

While both roles involve working with data and advanced algorithms, LLM salaries typically focus on AI research and language model development, whereas data scientist salaries are broader, covering data analysis and predictive modeling across various industries.

Which large language model is most in demand?

The most in-demand large language models for jobs like LLM specialists are OpenAI's GPT-4 and GPT-3.5, as well as Google's PaLM and Meta's LLaMA. Skills in fine-tuning, prompt engineering, and understanding these models are highly sought after in the AI and machine learning job market.
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What states have the most Llm Salary jobs?

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What job categories do people searching Llm Salary jobs look for?

The top searched job categories for Llm Salary jobs are:

Llm Salary jobs near you
Infographic showing various Llm Salary job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

LLM Applications Engineer

Uncountable

New York, NY • On-site

$130K - $175K/yr

Full-time

Medical, Dental, Retirement

Re-posted 17 days ago

Job description

Thank you for your interest in Uncountable Engineering!
Description
Uncountable is seeking experienced engineers to lead the transformation of our platform into an AI-first R&D ecosystem. We are building the next generation of tools that empower scientists at Fortune 500 companies to accelerate discovery through Generative AI.
As an LLM Applications Engineer, you will be the architect of our LLM infrastructure. You won't just be building interfaces; you will be designing the retrieval systems, agentic workflows, and data pipelines that bridge the gap between complex experimental data and actionable AI insights. Your work will directly modernize how the world's leading researchers interact with their data.
Primary Responsibility
Your primary responsibility is to design, build, and scale the LLM infrastructure and user-facing AI features of the Uncountable Web Platform. This is a hybrid role requiring a deep understanding of full-stack development and the unique challenges of deploying LLMs in production.
  • Feature Development: Build intuitive, AI-driven UI components that allow scientists to query, analyze, and visualize complex experimental datasets.
  • Integration: Connect LLM capabilities with our core SQL databases and data analysis engines to ensure high-fidelity, grounded AI responses.

Salary Range: $125K-$160K + Equity
Requirements
  • 2+ years of software development experience with a focus on full-stack web applications.
  • Proven experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, or Haystack).
  • Proficiency in Python and JavaScript/TypeScript: Ability to work across the AI backend and the React frontend.
  • Solid Engineering Fundamentals: Experience with API design, asynchronous processing, and performance optimization.

Preferred Qualifications
  • B.S. in Computer Science or a related technical field.
  • Experience with LLM Evaluation: Knowledge of how to measure and mitigate "hallucinations" in a scientific/technical context.
  • Familiarity with SQL: Specifically optimizing queries that serve as the context for LLM prompts.
  • Product Mindset: A passion for creating "LLM-first" user experiences that feel seamless rather than bolted-on.

Our Current Stack
  • Backend: Flask (Python), Postgres
  • Frontend: React (Typescript), Redux, Sass

Benefits
  • Competitive Salary and Equity
  • Health and Dental Insurance
  • 401K with Employer Contribution

Agentic Coding
Development at Uncountable has changed dramatically due to the introduction of LLM's. Read more about our practices at:
https://engineering.uncountable.com/coding
We're excited for you to build the future of development with us.
What's next? Learn more about Interviewing at Uncountable
Learn more about our engineering team: Check out our blog

Apply