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Entry Level Llm Engineer Jobs in Atlanta, GA (NOW HIRING)

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Entry Level Llm Engineer information

See Atlanta, GA salary details

$38.9K

$83.1K

$137K

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

As of Sep 2, 2026, the average yearly pay for entry level llm engineer in Atlanta, GA is $83,069.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $99,500.00 per year, depending on experience, location, and employer.

What is an entry level LLM engineer?

An Entry Level LLM (Large Language Model) Engineer is a professional who works on developing, fine-tuning, and deploying AI models that process and generate human language, such as GPT or similar neural network-based systems. They typically work with machine learning frameworks, data preprocessing, and model evaluation under the guidance of more experienced engineers. Entry level LLM Engineers are often responsible for implementing basic model architectures, running experiments, and analyzing model performance. They usually have a background in computer science, machine learning, or related fields, and are familiar with programming languages like Python.

What are some common challenges faced by entry level LLM engineers when working on real-world language model applications?

Entry Level LLM Engineers often encounter challenges such as adapting large language models to specific business requirements, managing computational resources efficiently, and debugging complex model outputs. Collaborating with data scientists and software engineers is key, as projects typically require integrating models into broader systems. Additionally, staying updated with rapid advancements in the field and learning to work with large datasets are ongoing aspects of the role. Supportive team structures and mentorship can help new engineers overcome these hurdles and accelerate their growth.

What are the key skills and qualifications needed to thrive as an entry level LLM engineer, and why are they important?

To thrive as an Entry Level LLM Engineer, you need a solid background in computer science, programming (especially Python), and basic machine learning concepts, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), experience with LLM APIs (such as OpenAI or Hugging Face), and understanding version control systems (like Git) are typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate and adapt in dynamic teams. These competencies are crucial for building, fine-tuning, and deploying large language models that meet project goals and industry standards.

What are the most commonly searched types of Llm Engineer jobs in Atlanta, GA?

The most popular types of Llm Engineer jobs in Atlanta, GA are:

What are popular job titles related to Entry Level Llm Engineer jobs in Atlanta, GA?

For Entry Level Llm Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Entry Level Llm Engineer jobs in Atlanta, GA look for?

The top searched job categories for Entry Level Llm Engineer jobs in Atlanta, GA are:

Entry Level Llm Engineer jobs near you
Infographic showing various Entry Level Llm Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 2% Internship, 83% Full Time, 5% Part Time, 3% Temporary, and 7% Contract. Highlights an 71% In-person, 4% Hybrid, and 25% Remote job distribution, with an average salary of $83,069 per year, or $39.9 per hour.

Product Availability Generalist

AutomationDirect

Cumming, GA • On-site

Full-time

Re-posted 28 days ago

Job description

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

Apply