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Entry Level Llm Developer Jobs (NOW HIRING)

Symetra

Software Engineer II, AI Enablement (Remote)

$96K - $161K/yr

Support interns and entry-level engineers as you grow. Who You Are * An early-career software ... Built LLM-powered applications (prompting, retrieval/RAG, evaluations, agents, MCP). * Familiarity ...

Lightcast

Associate Solutions Architect - 1011

Moscow, ID · On-site

$54.75 - $72/hr

Working closely with Account Managers and Sales Engineers, the Associate Solutions Architect helps ... This entry-level role is ideal for early-career professionals who are technically curious, client ...

Lightcast

Associate Solutions Architect - 1011

Moscow, ID

$54.75 - $72/hr

Working closely with Account Managers and Sales Engineers, the Associate Solutions Architect helps ... This entry-level role is ideal for early-career professionals who are technically curious, client ...

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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 Jul 11, 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 July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $94,149 per year, or $45.3 per hour.

Product Availability Generalist

AutomationDirect.com, Inc.

Cumming, GA • On-site

Full-time

Posted 6 days ago

Job description

Product Availability Generalist
Objective:
This position has three primary purposes: 1) Work as an analytics and reporting specialist to help the team benefit from access to timely, useful data and information; 2) Perform general duties to support the team, including primary responsibility for product launches and obsolescence; 3) Perform demand planning duties for an assigned group of suppliers.
Responsibilities:
Analytics and Reporting:
  • Design and build useful dashboards and automated reports for the team to monitor key metrics and alerts and arrive at customized insights using tools such as Power BI, SalesForce, SSRS, or Excel
  • Act as an entry-level resource for the team onpractical AI tool usage; stay current on approved tools, share bestpractices, and help identify where AI can reduce manual effort withinAutomationDirect guidelines
  • Collaborate with other teams on the use of advanced analytics to optimize forecasting and inventory
  • Support regular and ad hoc reporting needs
  • Ensure data accuracy, consistency, and integrity in all reporting
  • Support documentation of data definitions, business rules, and reporting procedures

Team Support
  • Handle all tasks related to product launch and obsolescence for the team, including attending launch meetings, handling supplier onboarding activities, completing SalesForce tasks, issuing initial stocking orders and last-time buys, etc.
  • Ensure product and forecast data is correctly setup in systems for launches and obsolescence
  • Assist with Supplier Information Management (SIM) dashboards, data integrity, and other system needs
  • Assist with receiving discrepancies and inventory returns up to resolution
  • Ensure vendors are abiding by contractual purchasing requirements such as backup inventory, lead times, stock rotations
  • Assist with Advanced Shipping Notice creation and order confirmations for selected vendors
  • Assist with applying AI tools to reporting, summarizing, and analytics tasks under guidance

Demand Planning
  • For assigned suppliers with semiannual or annual purchases, maintain sales forecasts and create purchase orders. Maintain expected ship date information and expedite delivery when needed
  • Handle related inventory returns, receiving discrepancies, delayed shipments, and other daily communications with suppliers
  • Use LLM tools (such as Microsoft Copilot or ChatGPT) to help draft routine supplier communications

Qualifications:
  • Minimum of high school education or equivalent required
  • Bachelors in Business Administration, Business Analytics or equivalent degree preferred
  • Proficiency and experience in MS Office suite (Excel, Outlook, PowerPoint, Teams, etc) required
  • Proficiency and experience with BI Tools (MS Power BI, SSRS) required
  • Familiarity with SQL querying language preferred
  • Previous experience in a purchasing/forecasting role and/or analytics role is preferred
  • Experience with Epicor ERP, SalesForce, and demand planning software is preferred
  • Proficiency in advanced statistical/analytical tools and programming languages (e.g., Python, R) is a plus
  • Proficiency and experience with AI tools such as Microsoft Copilot, ChatGPT, or similar LLM-based assistants preferred

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