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Entry Level Large Language Model Llm Jobs in Atlanta, GA

Smarsh

Lead Data Scientist

Atlanta, GA

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the development of state-of-the-art natural language processing (NLP) and large language model (LLM ...

Smarsh

Lead Data Scientist

Atlanta, GA · Remote

$166K - $214K/yr

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the development of state-of-the-art natural language processing (NLP) and large language model (LLM ...

Palnar

GEN AI Developer@ Alpharetta, GA

Alpharetta, GA · On-site

$49 - $67.50/hr

Major Skills - Hands on Python Development, GEN AI Tools, Experience with LangChain and LLM, MCP ... Proven experience working with Large Language Models (LLMs). * Experience with Microsoft Copilot ...

Prolego

GenAI Systems Developer

Atlanta, GA · Remote

$185K - $215K/yr

LLM Project Experience: Hands-on background working with large language models. Please be ready to share code samples or GitHub projects showcasing relevant work. * Data Science Mindset: While this ...

State Farm

Lead GenAI Engineer (LLM)

Dunwoody, GA · Hybrid

$101K - $133K/yr

We work at the frontier of large language models, agentic architectures, and cloud-native AI ... Design & Deploy AI/GenAI Solutions -- Architect and implement LLM-powered applications, agentic ...

Finastra

Senior AI Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

LLM Fundamentals: Understanding of large language models, their inner workings, capabilities, and limitations * AI Engineering Techniques: Knowledge of prompt engineering, context engineering, AI ...

Finastra

Senior AI Engineer

Atlanta, GA · On-site

$140 - $200/hr

... to optimize LLM performanceImplement function calling and tool use patterns for agentic ... Understanding of large language models, their inner workings, capabilities, and limitationsAI ...

Tror AI for everyone

Data Scientist

Atlanta, GA · On-site

... AI/LLM frameworks and agentic AI development on Cloudera / Databricks. In this role, you will ... Hands-on experience with Large Language Models (LLMs) and Generative AI frameworks, including ...

AIG

AI Observability Engineer

Atlanta, GA · On-site

Tracking ML,LLM, Agentic AI key performance indicators (KPIs) like context relevance, accuracy ... Large Language Models knowledge of various models, algorithms, and evaluation metrics is crucial ...

Virtual Networx

AI/ML Engineer

Atlanta, GA · On-site

Natural Language Processing (NLP) * Large Language Models (LLMs) OpenAI, Llama, Claude, Gemini * Prompt Engineering * Retrieval-Augmented Generation (RAG) * Vector Databases (Pinecone, FAISS ...

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All JobsLarge Language Model Llm JobsEntry Level Large Language Model Llm JobsEntry Level Large Language Model Llm Jobs in Atlanta, GA

Entry Level Large Language Model Llm information

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$14

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$27

How much do entry level large language model llm jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for entry level large language model llm in Atlanta, GA is $21.62, according to ZipRecruiter salary data. Most workers in this role earn between $18.70 and $23.80 per hour, depending on experience, location, and employer.

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 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 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 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 Atlanta, GA? The most popular types of Large Language Model Llm jobs in Atlanta, GA are:
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What job categories do people searching Entry Level Large Language Model Llm jobs in Atlanta, GA look for? The top searched job categories for Entry Level Large Language Model Llm jobs in Atlanta, GA are:
Entry Level Large Language Model Llm jobs near you
Infographic showing various Entry Level Large Language Model Llm job openings in Atlanta, GA as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $44,960 per year, or $21.6 per hour.

AI Data Engineer (Snowflake Cortex & Snowpark) - Q126

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Re-posted 3 days ago

Job description

Overview:
Job Title: AI Data Engineer (Snowflake Cortex & Snowpark)
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we have built a reputation as a trusted partner for IT staffing excellence and cutting-edge digital product innovation. We are driven by innovation and operate on a simple philosophy: "We deliver what we promise, and we promise only what we can deliver." Beyond providing top-tier IT talent, R2 builds cutting-edge proprietary solutions like SmartEnt-an Enterprise AI & IoT Intelligence Platform utilizing advanced NLP and AI technologies. By partnering closely with our clients, we deliver technology-driven outcomes that are realistic, measurable, and impactful.
Job Summary: The modern data warehouse is no longer just for storage-it is the brain of the enterprise. R2 Technologies is seeking an AI Data Engineer specializing in the Snowflake ecosystem. You will move beyond traditional ETL pipelines to build intelligent, agentic workflows directly within Snowflake. Leveraging Snowflake Cortex, Snowpark, and AI coding assistants, you will build Retrieval-Augmented Generation (RAG) pipelines, semantic layers, and vector search capabilities that power our enterprise applications and internal SmartEnt platform.
Key Responsibilities:
  • Design and implement high-performance data pipelines using Snowflake, Snowpark (Python/SQL), and dbt.
  • Build and deploy Large Language Model (LLM) features directly on enterprise data using Snowflake Cortex AI, enabling natural language-to-SQL and semantic search workflows.
  • Create and manage Vector Embeddings and hybrid search pipelines within Snowflake to support enterprise RAG architectures.
  • Utilize AI-assisted coding tools (e.g., GitHub Copilot, Cursor) to automate pipeline generation, data testing, and documentation.
  • Modernize legacy data structures into modern open table formats (Apache Iceberg) to future-proof AI data consumption.
  • Implement robust data governance, dynamic masking, and Role-Based Access Control (RBAC) to ensure AI models comply with strict security and privacy standards.

Qualifications:
  • Up to 3 years of experience in Data Engineering, Analytics, or AI/ML Engineering.
  • Strong hands-on proficiency with Snowflake architecture, SQL, and Python.
  • Experience or strong familiarity with Snowflake's modern AI stack (Cortex, Snowpark, Vector functions).
  • Understanding of modern data modeling (Data Vault, Star Schema) and open table formats (Iceberg).
  • Proven experience working alongside AI coding assistants to enhance productivity.
  • Familiarity with building LLM context windows, prompt engineering, and RAG frameworks.

Skills:
Snowflake,Cortex,snowpark

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