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Entry Level Retrieval Augmented Generation Jobs in Atlanta, GA

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

Junior AI/ML Engineer

Atlanta, GA ยท On-site

$90K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

AI/ML & Generative AI(Primary Skill set) NLP and Transformer Architectures Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Model Context Protocol (MCP) Frameworks ...

AI/ML Engineer

Atlanta, GA ยท On-site

$50 - $70/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience building RAG (Retrieval-Augmented Generation) pipelines for AI applications. Experience developing AI agents or agentic workflows using frameworks such as Lang Chain, LangGraph, CrewAI ...

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Machine Learning Engineer

Atlanta, GA ยท On-site

$50 - $60/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

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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 Atlanta, GA?

The most popular types of Retrieval Augmented Generation jobs in Atlanta, GA are:

What are popular job titles related to Entry Level Retrieval Augmented Generation jobs in Atlanta, GA?

For Entry Level Retrieval Augmented Generation jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Entry Level Retrieval Augmented Generation jobs in Atlanta, GA look for?

The top searched job categories for Entry Level Retrieval Augmented Generation jobs in Atlanta, GA are:

Infographic showing various Entry Level Retrieval Augmented Generation job openings in Atlanta, GA as of August 2026, with employment types broken down into 69% Full Time, 27% Part Time, and 4% Contract. Highlights an 65% Physical, 2% Hybrid, and 33% Remote job distribution.

AI Engineer Locals Only

Pegasys Information Technologies

Alpharetta, GA โ€ข On-site

Other

Posted 8 days ago


Job description

Hi,
Job Title: AI Engineer
Location:  Alpharetta, GA(Locals Only F2F interview )
Duration: Long term
Required Skills:
AI Agents
Multi-Agent Systems
AI / Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Workflow Automation & Orchestration Solutions
Warm Regards,
Upender. K
Sr. Talent Acquisition
24155 Drake Road, Suite #126,
Farmington, MI 48335
Email: