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Full Time Large Language Model Llm Jobs (NOW HIRING)

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 ...

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

... Large Language Model (LLM) solutions that automate business processes, improve operational ... Schedule: Full-time, Monday through Friday on-site. * Compensation: $85,000 - $115,000 Key ...

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

... Large Language Model (LLM) solutions that automate business processes, improve operational ... Schedule: Full-time, Monday through Friday on-site. * Compensation: $85,000 - $115,000 Key ...

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

As of Aug 24, 2026, the average hourly pay for full time 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 the difference between Full Time Large Language Model Llm vs Data Scientist?

AspectFull Time Large Language Model LlmData Scientist
Required CredentialsAdvanced degrees in AI, NLP, or related fields; experience with machine learning frameworksDegree in Data Science, Statistics, Computer Science; certifications like Certified Data Scientist
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics teams, research departments, tech firms
Industry UsageAI product development, NLP applications, machine learning researchData analysis, predictive modeling, business insights

While both roles require strong technical skills and familiarity with data and algorithms, Full Time Large Language Model Llm specialists focus on developing and fine-tuning AI models like NLP systems, whereas Data Scientists analyze data to generate insights and support decision-making. The roles often overlap in skills but differ in primary focus and application.

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Infographic showing various Full Time Large Language Model Llm job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $50,625 per year, or $24.3 per hour.

LLM Engineer/ AI/ML Engineer

Pyramid Consulting, Inc

Mclean, VA • On-site

Full-time

Re-posted 16 days ago


Job description

Job Summary:
Pyramid Consulting, Inc. is a leading company in the financial industry, and they are seeking a talented LLM Engineer/ AI/ML Engineer. The role involves designing, fine-tuning, and deploying Large Language Model solutions for various business use cases.
Responsibilities:
• Design, fine-tune, and deploy Large Language Model (LLM) solutions for business use cases.
• Integrate LLMs with applications using frameworks like LangChain.
• Implement prompt engineering and model optimization techniques.
• Evaluate model performance and continuously improve accuracy, speed, and cost efficiency.
• Stay current with advancements in Generative AI, LLM frameworks, and emerging tools.
Qualifications:
Required:
• Key skills; LLM, Gen AI, LangChain
• Design, fine-tune, and deploy Large Language Model (LLM) solutions for business use cases.
• Integrate LLMs with applications using frameworks like LangChain.
• Implement prompt engineering and model optimization techniques.
• Evaluate model performance and continuously improve accuracy, speed, and cost efficiency.
• Stay current with advancements in Generative AI, LLM frameworks, and emerging tools.
Company:
Pyramid Consulting, a global leader in workforce and technology solutions, empowers individuals and organizations to transform and thrive in the most challenging and competitive markets. Founded in 1996, the company is headquartered in Alpharetta, USA, with a team of 5001-10000 employees. The company is currently Late Stage.