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Entry Level Retrieval Augmented Generation Jobs in Georgia

Virtual Networx

AI/ML Engineer

Atlanta, GA · On-site

Retrieval-Augmented Generation (RAG) * Vector Databases (Pinecone, FAISS, ChromaDB, Milvus) * LangChain or LlamaIndex * SQL and NoSQL databases * REST APIs and FastAPI/Flask * Git and CI/CD * AWS ...

Spruce Infotech

Agentic Gen AI Engineer

Alpharetta, GA · On-site

... Retrieval-Augmented Generation (RAG) and reasoning pipelines to ensure grounded, reliable, and adaptive agent behavior. • Collaborate closely with GenAI engineers, application teams, MLOps, product ...

Lancesoft

Machine Learning Engineer 3 - MLENG3

Atlanta, GA · On-site

$65 - $69.42/hr

This role will focus on building scalable, production-grade AI solutions-starting with projects involving Retrieval Augmented Generation (RAG) and multi-agent orchestration for purposes of internal ...

New

The E Group

Be Seen First

Machine Learning Engineer

Atlanta, GA · On-site

$50 - $60/hr

This role will focus on building scalable, production-grade AI solutions--starting with projects involving Retrieval-Augmented Generation (RAG) and multi-agent orchestration for purposes of internal ...

New

Incident IQ

AI DevEx Engineer

Atlanta, GA · On-site

Preferred : • Experience with Retrieval-Augmented Generation (RAG) pipelines, vector databases, or knowledge graphing. • Experience building internal Developer Experience (DevEx) tools. • ...

Tror AI for everyone

Data Scientist

Atlanta, GA · On-site

Hands-on experience with Large Language Models (LLMs) and Generative AI frameworks, including prompt engineering, retrieval-augmented generation (RAG), and model orchestration. * Experience building ...

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Entry Level Retrieval Augmented Generation information

What is an entry level retrieval augmented generation job?

Entry level retrieval augmented generation jobs involve assisting in the development and optimization of AI systems that combine information retrieval techniques with generative models. Employees in these roles typically help build, test, and maintain systems where AI retrieves relevant data from large databases to enhance the accuracy and relevance of generated responses. These positions often require basic skills in programming, machine learning, and familiarity with natural language processing. They are ideal for recent graduates or those new to AI, offering opportunities to learn about modern AI architectures and contribute to innovative projects. Entry level workers may work under the guidance of senior engineers or researchers, supporting experimentation and evaluation tasks.

What are the key skills and qualifications needed to thrive as an entry level retrieval augmented generation specialist?

To thrive as an Entry Level Retrieval Augmented Generation Specialist, you need a foundational understanding of natural language processing (NLP), information retrieval, and basic programming skills, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, vector databases (like FAISS or Pinecone), and frameworks for large language models (LLMs) is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate and troubleshoot solutions in team environments. These skills and qualities are crucial for building reliable RAG systems that deliver accurate and relevant information to users.

What is the difference between Entry Level Retrieval Augmented Generation vs Entry Level Data Scientist?

AspectEntry Level Retrieval Augmented GenerationEntry Level Data Scientist
Required CredentialsBasic programming, understanding of NLP and AI conceptsBachelor's in Data Science, Computer Science, or related field
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Industry UsageAI development, NLP applications, chatbot creationData analysis, predictive modeling, data-driven decision making

Entry Level Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with generative AI, requiring knowledge of NLP and programming. Entry Level Data Scientist involves analyzing data, building models, and deriving insights, often with a broader data analysis skill set. While both roles require technical skills, Retrieval Augmented Generation is more specialized in AI model development, whereas Data Scientists work across various data projects.

What are some common challenges faced by entry-level professionals working in retrieval augmented generation roles?

Entry-level professionals in Retrieval Augmented Generation (RAG) often encounter challenges such as understanding how to effectively combine information retrieval systems with large language models and adapting to rapidly evolving technologies. Balancing accuracy and efficiency when designing or fine-tuning retrieval pipelines can also be a learning curve. Additionally, you may need to collaborate closely with data engineers, machine learning specialists, and product teams to ensure the RAG system aligns with business requirements. Staying proactive in learning and engaging with peers can help overcome these challenges and accelerate career growth.
What are the most commonly searched types of Retrieval Augmented Generation jobs in Georgia? The most popular types of Retrieval Augmented Generation jobs in Georgia are:
What are popular job titles related to Entry Level Retrieval Augmented Generation jobs in Georgia? For Entry Level Retrieval Augmented Generation jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Entry Level Retrieval Augmented Generation jobs in Georgia look for? The top searched job categories for Entry Level Retrieval Augmented Generation jobs in Georgia are:
What cities in Georgia are hiring for Entry Level Retrieval Augmented Generation jobs? Cities in Georgia with the most Entry Level Retrieval Augmented Generation job openings:
Entry Level Retrieval Augmented Generation jobs near you
Infographic showing various Entry Level Retrieval Augmented Generation job openings in Georgia as of July 2026, with employment types broken down into 62% Full Time, 14% Part Time, 12% Temporary, and 12% Contract. Highlights an 100% In-person job distribution.

AI/ML Engineer

Virtual Networx

Atlanta, GA • On-site

Other

Posted 5 days ago

Job description

Job Title: AI/ML Engineer

Location: Atlanta, GA

Duration: Long Term

Responsibilities

  • Design, build, and deploy AI/ML models for business applications.
  • Develop NLP and Generative AI solutions using LLMs.
  • Build RAG pipelines and AI agents.
  • Fine-tune and optimize machine learning models.
  • Deploy models using Docker, Kubernetes, and cloud platforms.
  • Create scalable REST APIs for AI services.
  • Work with data engineers to prepare training datasets.
  • Monitor model performance and retrain models when needed.
  • Collaborate with product managers and software engineers.
  • Follow MLOps best practices for model lifecycle management.

Required Skills

  • Python
  • Machine Learning algorithms (Supervised & Unsupervised Learning)
  • Deep Learning (TensorFlow, PyTorch, Keras)
  • Natural Language Processing (NLP)
  • Large Language Models (LLMs) OpenAI, Llama, Claude, Gemini
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • Vector Databases (Pinecone, FAISS, ChromaDB, Milvus)
  • LangChain or LlamaIndex
  • SQL and NoSQL databases
  • REST APIs and FastAPI/Flask
  • Git and CI/CD
  • AWS, Azure, or Google Cloud
  • Docker and Kubernetes
  • Data preprocessing and feature engineering

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