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Llm Analyst Jobs (NOW HIRING)

Uncountable

LLM Applications Engineer

New York, NY · On-site

$130K - $175K/yr

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 ...

Luminary Cloud

LLM Engineer

San Mateo, CA · On-site

Connect LLM capabilities with Luminary's Physics AI training/evaluation/inference pipelines, physics simulation solvers, mesh tools, and analytics APIs to enable end-to-end automation * Establish ...

Siemens Healthineers

AI LLM Engineer

Atlanta, GA · On-site +1

AI / LLM Engineering & Agentic Systems * Design, build, and deploy LLM powered applications using ... Work across business, analytics, and engineering teams to identify high impact AI use cases

Minfy

Senior AI / LLM Engineer

Mclean, VA · On-site

$107K - $147K/yr

Retrieval augmented generation over large, real-world enterprise data is a prominent part of the work, alongside platform integration and LLM-driven analysis. You will set technical direction within ...

Apple

Machine Learning Engineer - LLM

Cupertino, CA · On-site

Ability to meaningfully present results of analyses in a clear and impactful manner, breaking down complex ML/LLM concepts for non-technical audiences. Proven experience in leading and mentoring ...

Diablo Convoy

LLM Engineer

Houston, TX · On-site

$120K - $130K/yr

We are seeking a detail-oriented LLM Automation Engineer to support AI-driven data analysis, document processing, automation workflows, and reporting initiatives. This role focuses on using ...

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Llm Analyst information

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$31K

$73.3K

$130K

How much do llm analyst jobs pay per year?

As of Jul 7, 2026, the average yearly pay for llm analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an LLM Analyst, and why are they important?

To thrive as an LLM Analyst, you need a solid background in data science, natural language processing (NLP), and machine learning, often supported by a relevant degree in computer science or a related field. Familiarity with tools and frameworks like Python, TensorFlow, PyTorch, and experience using large language models (LLMs) are typically required. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting results and collaborating with cross-functional teams. These skills are crucial for developing, evaluating, and optimizing LLM applications to deliver accurate and impactful AI solutions.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in data science, programming, and deep learning. These positions usually involve leadership responsibilities, strategic planning, and expertise in tools like Python, TensorFlow, or PyTorch, with compensation reflecting experience and impact on organizational AI initiatives.

What jobs in the US pay 300,000 a year?

For an Llm Analyst, high-paying roles typically include senior data science, machine learning engineering, or executive positions in technology and finance that require advanced skills in AI, data analysis, and programming. These roles often demand extensive experience, specialized certifications, and a strong understanding of AI models and tools. Salaries of $300,000 or more are usually found in senior or leadership positions within large organizations or specialized consulting firms.

What is the difference between Llm Analyst vs Data Scientist?

AspectLlm AnalystData Scientist
Required CredentialsBachelor's in Computer Science, Data Science, or related field; knowledge of machine learning and NLPBachelor's or Master's in Data Science, Statistics, or related; strong programming and statistical skills
Work EnvironmentTech companies, AI firms, research labs focusing on language modelsVarious industries including tech, finance, healthcare; data-driven roles
Employer & Industry UsagePrimarily in AI and NLP-focused companiesBroadly across industries with data analysis needs

While both roles involve working with data and machine learning, an Llm Analyst specializes in language models and NLP applications, whereas a Data Scientist has a broader focus on data analysis, modeling, and insights across various domains.

What are some common challenges faced by LLM Analysts when working with large language models in a production environment?

LLM Analysts often encounter challenges such as optimizing model performance while balancing computational costs, ensuring data privacy and compliance, and troubleshooting unexpected model outputs. Collaborating closely with data engineers and machine learning researchers is essential to address issues like data pipeline bottlenecks and model drift. Additionally, LLM Analysts must continuously monitor and retrain models to maintain accuracy, which requires strong analytical and problem-solving skills in a fast-paced, collaborative environment.

What does an AI LLM analyst do?

An AI LLM analyst specializes in evaluating and optimizing large language models (LLMs) used in artificial intelligence applications. They analyze model performance, interpret outputs, and develop strategies to improve accuracy, safety, and efficiency, often using programming skills and AI tools. Their work supports the deployment of reliable AI systems across various industries.

Which 3 jobs will survive AI?

Llm Analysts, data scientists, and cybersecurity professionals are expected to remain in demand as AI advances, due to their specialized skills in interpreting complex data, developing AI models, and ensuring security. These roles require critical thinking, domain expertise, and often certifications, making them less susceptible to automation. Continuous learning and adapting to new tools are essential for long-term job security in these fields.

What is an LLM Analyst?

An LLM Analyst is a professional who specializes in working with large language models (LLMs), such as GPT or similar AI systems. Their role typically involves evaluating, fine-tuning, and analyzing the performance of these models for specific business or research applications. LLM Analysts may also handle tasks like prompt engineering, data annotation, and quality assurance to ensure that the language model meets designated objectives and safety standards. This position requires a strong understanding of machine learning concepts, natural language processing (NLP), and data analysis.
More about Llm Analyst jobs
What cities are hiring for Llm Analyst jobs? Cities with the most Llm Analyst job openings:
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Llm Analyst jobs near you
Infographic showing various Llm Analyst job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.
LLM Applications Engineer

LLM Applications Engineer

Uncountable

New York, NY • On-site

$130K - $175K/yr

Full-time

Medical, Dental, Retirement

Posted 4 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.
  • Infrastructure: Implement and optimize RAG (Retrieval-Augmented Generation) pipelines, vector databases, and prompt management systems.
  • 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: $130K-$175K + 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

What's next? Learn more about Interviewing at Uncountable
Learn more about our engineering team: Check out our blog

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