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Entry Level Llm Developer information

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$32K

$94.1K

$161.5K

How much do entry level llm developer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for entry level llm developer in the United States is $94,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $101,500.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Llm Developer vs Entry Level Data Scientist?

AspectEntry Level Llm DeveloperEntry Level Data Scientist
Required CredentialsBachelor's in Computer Science, AI, or related field; familiarity with machine learning and NLPBachelor's in Computer Science, Statistics, or related field; knowledge of programming and data analysis
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, research institutions
Employer & Industry UsageDevelops language models, NLP applicationsAnalyzes data, builds predictive models, interprets data trends

Entry Level Llm Developers focus on creating and fine-tuning language models using AI and NLP techniques, often working in tech and research environments. Entry Level Data Scientists analyze data sets to extract insights and build models, working across various industries. While both roles require programming skills and a background in data or AI, their core responsibilities differ: Llm Developers specialize in language models, whereas Data Scientists focus on data analysis and interpretation.

What are entry level LLM developers?

Entry level LLM (Large Language Model) developers are professionals who work with AI models like GPT, typically at the beginning of their careers. They may assist in training, fine-tuning, or integrating large language models into various applications, often under the supervision of more experienced engineers. Their work can involve coding, data preprocessing, prompt engineering, and testing model performance. Entry level LLM developers usually have foundational knowledge in programming (commonly Python), machine learning concepts, and an interest in natural language processing (NLP). Employers often look for candidates with relevant coursework, internships, or personal projects in AI.

What are the key skills and qualifications needed to thrive as an Entry Level LLM Developer, and why are they important?

To thrive as an Entry Level LLM Developer, you need a solid background in computer science, programming (especially Python), and a foundational understanding of machine learning and natural language processing concepts. Familiarity with frameworks such as PyTorch or TensorFlow, experience using libraries like HuggingFace Transformers, and basic proficiency with cloud platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and adapt to evolving project needs. These skills and qualities ensure you can effectively contribute to LLM projects, deliver reliable code, and stay current in a fast-paced AI field.

What are typical projects and daily tasks for an Entry Level LLM Developer?

As an Entry Level LLM Developer, you can expect to work on tasks such as fine-tuning language models, building data pipelines, and supporting senior engineers with model deployment and testing. Your daily responsibilities may include cleaning and preparing datasets, writing Python scripts, conducting model evaluations, and documenting your work. You'll often collaborate closely with data scientists, machine learning engineers, and product teams to ensure your models align with business goals. This role is a great opportunity to build foundational skills in natural language processing while gaining exposure to real-world applications of large language models.
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Entry Level Llm Developer jobs near you
Infographic showing various Entry Level Llm Developer job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 5% Full Time, 89% Part Time, 2% Temporary, and 2% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $94,149 per year, or $45.3 per hour.
Entry level Java Developer

Entry level Java Developer

SynergisticIT

Phoenix, AZ

Other

Posted 27 days ago

Job description

Synergisticit Job Opportunities

Since 2010 SynergisticIT has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. The tech job market has been affected by massive layoffs and since 2021 there have been more than 600,000 tech layoffs. The job market is hyper competitive. For 1 position 500-1000 candidates or more are applying and laid off job seekers are also competing for entry level job positions.

We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few. We are continuously looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We need data science/machine learning/data analyst and Java full stack candidates. Preferred skills for Java/full stack/devops positions include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT knowledge of core Java, javascript, C++ or software programming. Spring boot, microservices, docker, jenkins, github, kubernates and REST API's experience. For data science/data analyst/AI/machine learning positions preferred skills include an associate or bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT, statistics, mathematics or having good logical aptitude knowledge of statistics, gen AI, LLM, sagemaker, python, computer vision, data visualization tools. Candidates lacking technical skills can research our other programs which can assist in landing a job.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.

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