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Entry Level Large Language Model Llm Jobs (NOW HIRING)

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 ...

Hippocratic AI

LLM Inference Engineer

Menlo Park, CA · On-site

About the Role We're seeking an experienced LLM Inference Engineer to optimize our large language model (LLM) serving infrastructure. The ideal candidate has: * Extensive hands-on experience with ...

Virtusa Corporation

Systems Architect

Las Vegas, NV · On-site

$232K/yr

... Large Language Model LLM Architecture Prompt Engineering Agentic AI Frameworks Banking Domain Accounting Domain Financial Automation Technology Leadership Negotiation Skills Program Delivery Project ...

Xforia, Inc.

Data Scientist

... Large Language Model (LLM) solution to check coherence and consistency. Resource will also develop and modify existing models related to customer long term engagement and retention. This role will ...

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

As of Aug 24, 2026, the average hourly pay for entry level large language model llm in the United States is $22.48, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $24.76 per hour, depending on experience, location, and employer.

What is an entry level large language model LLM?

An Entry Level Large Language Model (LLM) role typically refers to positions where individuals work with advanced AI systems, like ChatGPT or similar models, to support tasks such as data annotation, model evaluation, prompt engineering, or customer support. Entry-level LLM professionals might help train models, test outputs for accuracy, or assist with basic research. These roles usually require strong analytical skills, attention to detail, and some familiarity with AI concepts, but do not always require advanced programming experience. They offer a great starting point for those interested in the field of artificial intelligence and natural language processing.

What types of projects do entry level large language model LLM engineers typically contribute to?

Entry-level professionals in LLM roles often support data preparation, model fine-tuning, and evaluation tasks under the guidance of more experienced engineers or data scientists. They may annotate data, help run experiments, monitor model outputs for quality, and assist in deploying models for internal testing or limited production use. Collaboration with cross-functional teams—including machine learning engineers, product managers, and research scientists—is common, offering valuable exposure to various stages of the LLM development lifecycle. This hands-on experience helps build foundational skills and prepares individuals for more advanced responsibilities in the field.

What are the key skills and qualifications needed to thrive as an entry level large language model LLM engineer?

To thrive as an Entry Level Large Language Model (LLM) Engineer, you need a solid background in computer science, machine learning fundamentals, and proficiency in programming languages like Python, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as PyTorch or TensorFlow), version control systems, and cloud computing platforms is often required. Strong analytical thinking, problem-solving skills, and effective communication set candidates apart in this role. These competencies are crucial for developing, fine-tuning, and deploying LLMs to ensure innovative and reliable AI solutions.

What is the difference between Entry Level Large Language Model Llm vs Data Analyst?

AspectEntry Level Large Language Model LlmData Analyst
Required CredentialsBasic understanding of NLP, programming skills (Python), coursework or certifications in AI/MLBachelor's degree in Data Science, Statistics, or related field; often certifications in data analysis tools
Work EnvironmentResearch labs, AI companies, tech startups; focus on model development and trainingBusiness environments, consulting firms, finance, healthcare; focus on data interpretation and reporting
Industry UsageAI development, NLP applications, machine learning researchBusiness intelligence, market analysis, operational insights

Entry Level Large Language Model Llm roles focus on developing and training NLP models, requiring programming and AI knowledge. Data Analysts interpret data to inform business decisions, often using statistical tools. While both roles involve working with data, Llm positions are more technical and research-oriented, whereas Data Analysts focus on data interpretation and reporting.

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Entry Level Large Language Model Llm jobs near you
Infographic showing various Entry Level Large Language Model Llm job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 7% Part Time, and 4% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $46,753 per year, or $22.5 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.

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