ZipRecruiter

Log In

1

Large Language Model Llm Jobs (NOW HIRING)

Peraton

Large Language Model Specialist

$104K - $166K/yr

Responsibilities The LLM Specialist will drive the design, development, and operationalization of advanced large-language-model capabilities across a cloud-based analytics ecosystem. This role leads ...

AMSYS Talent

LLM Infrastructure Engineer

Houston, TX · On-site

$97K - $127K/yr

We are looking for a Senior Python / AI API Engineer to build and deploy production-grade services powering Large Language Model (LLM) applications. This role focuses on developing high-performance ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

... Large Language Model (LLM) solutions that automate business processes, improve operational ... efficiency, and support strategic initiatives across all departments. This role partners with ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

The LLM Engineer serves as the organization's AI technical lead responsible for designing, implementing, and optimizing Large Language Model (LLM) solutions that automate business processes, improve ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

The LLM Engineer serves as the organization's AI technical lead responsible for designing, implementing, and optimizing Large Language Model (LLM) solutions that automate business processes, improve ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

The LLM Engineer serves as the organization's AI technical lead responsible for designing, implementing, and optimizing Large Language Model (LLM) solutions that automate business processes, improve ...

Oxford Global Resources

AI Architect

OR · Remote

Artificial and Large Language Model Architect As an AI & LLM Architect , you will play a pivotal role in designing and implementing the technology architecture for advanced AI (including Large ...

next page

Showing results 1-20

All JobsTechnology JobsLarge Language Model Llm Jobs

Large Language Model Llm information

See salary details

$14

$24

$38

How much do large language model llm jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for large language model llm in the United States is $24.34, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $29.09 per hour, depending on experience, location, and employer.

What is a large language model llm?

A Large Language Model (LLM) job typically involves working with advanced AI models designed to understand and generate human-like text. Roles in this field may include research, data engineering, model fine-tuning, prompt engineering, or application development. Professionals in LLM jobs often work with machine learning algorithms, natural language processing (NLP), and large-scale datasets to enhance AI capabilities. These roles are common in AI-driven industries, including tech companies, research institutions, and startups. Strong programming skills, knowledge of deep learning frameworks, and expertise in NLP are often required.

What are some common challenges faced by large language model llm engineers in their day-to-day work?

LLM Engineers often encounter challenges related to scaling models efficiently, optimizing performance on large and complex datasets, and ensuring the responsible use of AI technologies. Balancing the trade-offs between model accuracy, speed, and ethical considerations can be demanding, especially as real-world applications often require rapid iterations and rigorous testing. Additionally, staying updated with the latest research advancements and integrating new methods into production systems is an ongoing responsibility. Many engineers tackle these challenges by working closely with data scientists, researchers, and product teams in collaborative, agile environments.

What are the key skills and qualifications needed to thrive in the large language model llm position?

Excelling in the role of a Large Language Model (LLM) Engineer requires strong expertise in natural language processing, machine learning, and computer programming, often supported by an advanced degree in computer science or a related field. Familiarity with industry-standard frameworks like PyTorch or TensorFlow, as well as experience with cloud computing platforms and large-scale data management, is highly valued. Communication, creativity, and problem-solving are essential soft skills to effectively collaborate with cross-functional teams and innovate solutions. These skills ensure the development, deployment, and refinement of powerful language models that can address diverse business needs and technical challenges.

What jobs can I do with large language model?

Large Language Models (LLMs) are used in roles such as AI research scientist, NLP engineer, data scientist, and machine learning engineer. These jobs involve developing, fine-tuning, and deploying LLMs for applications like chatbots, content generation, and language understanding, often requiring skills in programming, data analysis, and deep learning frameworks.
More about Large Language Model Llm jobs

What cities are hiring for Large Language Model Llm jobs?

Cities with the most Large Language Model Llm job openings:

What are the most commonly searched types of Large Language Model Llm jobs?

The most popular types of Large Language Model Llm jobs are:

What states have the most Large Language Model Llm jobs?

States with the most job openings for Large Language Model Llm jobs include:

What are popular job titles related to Large Language Model Llm jobs?

For Large Language Model Llm jobs, the most frequently searched job titles are:

Large Language Model Llm jobs near you
Infographic showing various Large Language Model Llm job openings in the United States as of September 2026, with employment types broken down into 10% Internship, 80% Full Time, and 10% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $50,625 per year, or $24.3 per hour.

Data Scientist - Large Language Model (LLM)

Boston, MA • On-site

Saviance
IT Services • 201 - 500 employees
Learn more about Savianceexternal

Full-time

Re-posted 21 days ago

Job description

Job Summary:
Saviance is a technology company specializing in professional services and consulting with a focus on natural language processing innovation. They are seeking a Data Scientist to develop and enhance large language model applications, specifically in the healthcare industry, collaborating with research and engineering teams to optimize language models.
Responsibilities:
• Reinforcement Learning Expertise: Conduct advanced research and have a track record of scientific publications in reinforcement learning, including Q-learning, value-iteration methods, DQN, double DQN, actor-critic, and Proximal Policy Optimization.
• NLP and Transformers Mastery: Demonstrate deep knowledge, publications and hands-on experience with transformers and attention networks in NLP, including proficiency with the Hugging Face Transformers library and models.
• Model Development: Design, develop, and optimize large language models using cutting-edge transformer architectures and attention mechanisms, supported by proven code and projects.
• Data Structures and Algorithms: Possess a comprehensive understanding of data structures and algorithms, applying them effectively to address complex NLP challenges.
• Unix Proficiency: Be proficient in Unix-based systems to facilitate efficient data processing and model development workflows.
• Python Development: Bring at least 3-5 years of extensive Python development experience, with a focus on data science, machine learning, and AI projects.
• Prompt Engineering: Efficient and intensive prompt engineering expertise.
• LLM Infrastructure and engineering: Experience with various options for setting up the LLM infrastructure in the cloud.
Qualifications:
Required:
• Hold a Master's or Ph.D. in computer science or a related field.
• Present a proven track record of scientific publications in reinforcement learning, showcasing expertise in various RL methods.
• Demonstrate in-depth understanding and hands-on experience and proven scientific publications with transformers and attention networks for NLP, including familiarity with the Hugging Face Transformers library and models.
• Demonstrated ability to fine tune language models in multi-GPU environment.
• Possess a strong grasp of data structures and algorithms, with the ability to apply them effectively to solve intricate NLP problems.
• Exhibit proficiency in Unix-based systems for efficient data processing and development tasks.
• Have a minimum of 3-5 years of hands-on experience in Python development, with a particular focus on data science, machine learning, and AI.
• Moreover, at least 4-8 years of experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and proficiency in other Client algorithms and libraries.
• Showcase exceptional problem-solving skills and a creative approach to tackling complex NLP challenges.
• Possess strong verbal and written communication skills, enabling effective collaboration with cross-functional teams.
Preferred:
• Conduct advanced research and have a track record of scientific publications in reinforcement learning, including Q-learning, value-iteration methods, DQN, double DQN, actor-critic, and Proximal Policy Optimization.
• Demonstrate deep knowledge, publications and hands-on experience with transformers and attention networks in NLP, including proficiency with the Hugging Face Transformers library and models.
• Design, develop, and optimize large language models using cutting-edge transformer architectures and attention mechanisms, supported by proven code and projects.
• Possess a comprehensive understanding of data structures and algorithms, applying them effectively to address complex NLP challenges.
• Be proficient in Unix-based systems to facilitate efficient data processing and model development workflows.
• Bring at least 3-5 years of extensive Python development experience, with a focus on data science, machine learning, and AI projects.
• Efficient and intensive prompt engineering expertise.
• Experience with various options for setting up the LLM infrastructure in the cloud.
Company:
Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. Founded in 1999, the company is headquartered in Metuchen, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Saviance logo

About Saviance

Sourced by ZipRecruiter

Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. We bring twenty three years of experience to the table. Our consultants are qualified experts and extremely talented. We understand the business behind the technology, and work with many of the top Fortune 100 companies and provide innovative, scalable, robust and secure solutions. At the forefront of the Staffing and IT Solutions industry, Saviance is certified by NMSDC as a Tier 1, Minority Business Enterprise (MBE) . We are a self- certified Small Business and self- certified Woman Owned Business committed to maximizing global workforce solutions on behalf of our clients, empowering businesses and talent through applied human intelligence. We are a Diversity Supplier with global reach specializing in a business services blend of talent, technology, and a relentless commitment to customer success. It’s our diversity that’s acts as a core component of our culture, our approach to business, and the opportunities we provide to our clients and our employees.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

East Rutherford, NJ, US

Year founded

1999

Social media

FacebookTwitter

View All Saviance Jobs

Apply