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Large Language Model Jobs (NOW HIRING)

Ansell

Senior AI Engineer

Iselin, NJ · Hybrid

$106K - $145K/yr

The Senior AI Engineer is a technical leader with deep expertise in AI/ML, Generative AI, Large Language Models (LLMs), and modern cloud-native application development. This role is responsible for ...

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Large Language Model information

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How much do large language model jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for large language model in the United States is $31.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $39.18 per hour, depending on experience, location, and employer.

What is the difference between Large Language Model vs Data Scientist?

AspectLarge Language ModelData Scientist
Required CredentialsNone; primarily AI/ML trainingDegree in Data Science, Statistics, or related field
Work EnvironmentAI development teams, research labsBusiness, tech companies, research institutions
Industry UsageNatural language processing, AI applicationsData analysis, predictive modeling, insights
Common Search/ComparisonUnderstanding AI capabilitiesData analysis skills

Large Language Models (LLMs) are AI systems trained on vast text data to generate human-like language, often used in NLP applications. Data Scientists analyze data to extract insights, build models, and inform business decisions. While LLMs focus on language generation and understanding, Data Scientists work with a broader range of data types and analytical techniques. Both roles are integral to AI and data-driven industries but serve different functions and require different skill sets.

What cities are hiring for Large Language Model jobs?

Cities with the most Large Language Model job openings:

Infographic showing various Large Language Model job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $65,246 per year, or $31.4 per hour.

Senior ML Operations Engineer - Python

Oakland, CA • On-site

Texas State Library and Archives Commision
Libraries and Archives • 201 - 500 employees
Learn more about Texas State Library and Archives Commisionexternal

Full-time

Re-posted 14 days ago

Job description

Job Description:
We are seeking three knowledgeable Senior Python/ML Operations Engineers with advanced Python and Flask, Large Language Models, Open API engineering, Containerization and Swagger expertise for a multi-year engagement to work with a foremost Healthcare IT Solutions Group in their Innovations Project Team.
Prerequisites for the selection of the Consultants encompass:
  • Advanced Python programming for back-end development for Machine Learning Operations.
  • Expertise with OpenAPI specs.
  • Conversant with LLMs, specifically Llama 2 or Mistral.
  • Familiarity with Prompt Engineering.
  • Required to productionize Large Language Model (LLM) based solutions.
  • Capable of taking an open-source Large Language Model (LLM) and fine tuning it to reflect custom data and retrieve data from a Vector database.
  • Will be required to design a RESTful API that interfaces with a Large Language Model (LLM) and can be used for user consumption.
  • Write Helm charts and the web front end.
  • Must be skilled in modularizing machine learning code.
  • Will transform Data Scientists' models into scalable, maintainable systems.
  • Integrate the APIs with MongoDB (Reddis, Vector, databases, embedding models).
  • Should have expertise in deploying and managing containerized applications using Kubernetes.
  • Ability to take an open-source hugging face model and productionalize it so that user can use it on custom data.
  • Plan the builds with Swagger CodeGen, Editor and Inspector.
  • Experience with Jupyter notebooks, Flask, FastAPI, and on premises Docker and Kubernetes.
  • Angular and Node are also utilized in this environment.
  • Document plan and steps for development.

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