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Entry Level Large Language Model Llm Jobs in Pennsylvania

As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ... Design and implement AI systems using Large Language Models (LLMs) to solve enterprise challenges ...

As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ... Design and implement AI systems using Large Language Models (LLMs) to solve enterprise challenges ...

$19 - $26/hr

The successful candidates will assist in developing large language model (LLM) applications for social science research and data analysis . Preferred qualifications include: * Prior experience ...

The research assistant will assist Rock Ethics Institute faculty in a study examining how large-language model (LLM)-controlled artificial agents use and develop social strategies, and ways to foster ...

Engineer

Pittsburgh, PA · On-site

$100K - $105K/yr

LLM Basics * RAG * Systems Design and Engineering * Ability to design a fault tolerant production ... Highly skilled Senior Full-Stack Engineer with strong expertise in Python, Large Language Models ...

... large language model, vision language model, * AI efficiency, and * security of agentic AI with emphasis on formal modeling and formal verification approaches This internship role will focus on the ...

Publications as first author on LLM, Agentic AI or self supervised learning (SSL). * Demonstrated ... large language models, etc.) * Track record in developing machine learning solutions using massive ...

... large language models, retrieval systems, knowledge graphs, and generative AI to help researchers ... Build and optimize LLM-powered applications, including question answering, literature summarization ...

... large language models, retrieval systems, knowledge graphs, and generative AI to help researchers ... Build and optimize LLM-powered applications, including question answering, literature summarization ...

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Entry Level Large Language Model Llm information

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.

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

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

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Infographic showing various Entry Level Large Language Model Llm job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.