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Entry Level Llm Developer Jobs (NOW HIRING)

Atlas Energy Solutions

AI Developer

Austin, TX · Remote

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and ... Foundations: Understanding of AI/ML/LLM concepts (prompting, embeddings, retrieval) through ...

Atlas Energy Solutions

AI Developer

Austin, TX · Remote

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and ... Foundations: Understanding of AI/ML/LLM concepts (prompting, embeddings, retrieval) through ...

Atlas Energy Solutions

AI Developer

Austin, TX · On-site

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and ... Foundations: Understanding of AI/ML/LLM concepts (prompting, embeddings, retrieval) through ...

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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 Software Engineer

Entry Level Software Engineer

SynergisticIT

Boston, MA

Other

Posted 11 days ago

Job description

Since 2010 and almost 14 years 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.
Post Covid the tech Layoffs have been massive-In 2022 there were 165,269 tech layoffs, In 2023 there were 264,220 tech layoffs and so far in 2024 there have been 126,382 tech layoffs. (Source Layoffs.fyi ) -Total layoffs as per this 555,871 tech layoffs.
Client, Dell and Cisco have announced 15,000/12,500 and 4000 tech layoffs respectively in August.
The Job market is Hyper Competitive. For 1 position 500-2000 candidates or more are applying and laid off job seekers are also competing for entry level Job positions.
Acquiring the right technology skillsets which are being demanded by clients and getting yourself in front of clients is the way to get to get Interviews and eventually a Job Offer. Survival of the Fittest is the only way to get a tech Job in this job market.
In this Layoffs fueled market also SynergisticIT's candidates are able to achieve multiple job offers and $100k + salaries once they acquire the required skills.
please check the below links to see success outcomes, salaries of our candidates .
https://www.synergisticit.com/candidate-outcomes/
We regularly interact with the Top Tech companies to give our candidates a competitive advantage-Please visit the below videos exhibiting at Oracle Cloud world /Oracle Java one (Las vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023
https://synergisticit.wistia.com/medias/tmwjwchxz5
https://synergisticit.wistia.com/medias/n8487768di
https://synergisticit.wistia.com/medias/o5gmv7i9eu
https://synergisticit.wistia.com/medias/k6t6a1n4kb
https://synergisticit.wistia.com/medias/pgrvq4fgni
https://synergisticit.wistia.com/medias/ce4syhm853
All Positions are open for all visas and US citizens
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 labs etc to name a few.
Currently, we are 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 want Data Science/Machine learning/Data Analyst and Java Full stack candidates
REQUIRED SKILLS For Java /Full stack/Devops Positions
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
REQUIRED SKILLS
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
Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow
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 candidate.

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