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Summer Retrieval Augmented Generation Jobs in Georgia

Artificial Intelligence Engineer

Alpharetta, GA · On-site

$108K - $130K/yr

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

... retrieval-augmented generation (RAG) and reranking; agent orchestration with LangGraph or comparable; or LLM fine-tuning. • Proficient in Python and comfortable working with async code, data ...

AI Engineer - Remote / Telecommute

Columbus, GA · On-site

$37 - $42/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Implement Retrieval Augmented Generation (RAG) solutions to enhance AI response quality and accuracy. * Design and optimize context assembly and retrieval mechanisms for Large Language Models (LLMs)

Build and enhance Generative AI, LLM, and Retrieval-Augmented Generation (RAG) applications, including chatbot and conversational AI capabilities. * Develop and optimize data pipelines, feature ...

AI Engineer

Atlanta, GA · On-site

$50 - $55/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Develop and implement Retrieval Augmented Generation (RAG) solutions for knowledge retrieval and contextual AI responses. Design AI orchestration workflows using frameworks such as LangChain ...

AI Engineer

Atlanta, GA · On-site

$50 - $55/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Develop and implement Retrieval Augmented Generation (RAG) solutions for knowledge retrieval and contextual AI responses. * Design AI orchestration workflows using frameworks such as LangChain ...

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

Technical Skills AI & Agents LLMs, Agentic AI, Multi-Agent Systems, Prompt Engineering, Retrieval-Augmented Generation (RAG), Semantic Kernel, Lang-Graph, Microsoft Auto-Gen, AI Governance ...

New

Junior AI/ML Engineer

Atlanta, GA · 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 ...

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Summer Retrieval Augmented Generation information

What are the key skills and qualifications needed to thrive as a retrieval augmented generation (RAG) engineer, and why are they important?

To thrive as a Retrieval Augmented Generation (RAG) Engineer, you need a strong background in machine learning, natural language processing, and information retrieval, typically supported by a degree in computer science or a related field. Proficiency with frameworks like PyTorch or TensorFlow, experience with vector databases (e.g., FAISS, Pinecone), and familiarity with LLM APIs are commonly required. Creative problem-solving, strong communication, and the ability to collaborate across multidisciplinary teams are essential soft skills. These competencies ensure effective development, deployment, and optimization of advanced AI systems that integrate retrieval and generative capabilities.

What is a summer retrieval augmented generation role?

A Summer Retrieval Augmented Generation (RAG) role typically refers to a summer position focused on developing or improving retrieval-augmented generation systems, which are AI models that combine information retrieval with generative capabilities. In this role, you might work on integrating search algorithms with large language models, enabling systems to fetch relevant information from external sources and generate accurate, context-aware responses. These positions are often found in research labs, tech companies, or startups working on advanced AI applications, and are ideal for students or early-career professionals interested in machine learning, natural language processing, and AI research.

What are some common challenges faced when working on retrieval-augmented generation (RAG) projects during a summer internship?

During a summer internship focused on Retrieval-Augmented Generation (RAG), interns often encounter challenges such as integrating retrieval systems with generative models, managing large-scale datasets, and optimizing latency for real-time responses. Collaboration with cross-functional teams—including data engineers, research scientists, and product managers—is essential for aligning project goals and troubleshooting implementation issues. Additionally, interns may need to balance exploratory research with delivering usable prototypes within tight timeframes, which helps develop both technical and project management skills.
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:

AI Engineer Locals Only

Pegasys Information Technologies

Alpharetta, GA • On-site

Other

Posted 7 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: