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Entry Level Retrieval Augmented Generation Jobs in Georgia

LG Electronics

Product Data Specialist

Alpharetta, GA · On-site

$29/hr

Support the RAG (Retrieval-Augmented Generation) database by ensuring documents are properly indexed, retrievable, and aligned with user queries. * Manage and organize documents in the database ...

New

TriNet

Software Engineer

Dunwoody, GA · On-site

$89K - $168K/yr

RAG (Retrieval-Augmented Generation) * Generative AI technologies * AI agent development Additional Competencies * Strong understanding of coding best practices , UI and back-end architectures

TriNet

Software Engineer

Atlanta, GA · On-site +1

$89K - $168K/yr

RAG (Retrieval-Augmented Generation) * Generative AI technologies * AI agent development Additional Competencies * Strong understanding of coding best practices , UI and back-end architectures

Zenefits

Software Engineer

Atlanta, GA · On-site +1

$89K - $179K/yr

RAG (Retrieval-Augmented Generation) * Generative AI technologies * AI agent development Additional Competencies * Strong understanding of coding best practices, UI and back-end architectures

TriNet

Software Engineer

Dunwoody, GA · On-site +1

$89K - $168K/yr

RAG (Retrieval-Augmented Generation) * Generative AI technologies * AI agent development Additional Competencies * Strong understanding of coding best practices , UI and back-end architectures

DPR Construction

MLOps Engineer

Atlanta, GA

Familiarity with semantic search, retrieval-augmented generation (RAG), or embedding pipelines * Exposure to managing and monitoring ML workloads that support generative AI or advanced analytics use ...

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Entry Level Retrieval Augmented Generation information

What are entry level retrieval augmented generation jobs?

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.

Is it entree or entry?

The correct term for the job level is 'entry' level, as in Entry Level Retrieval Augmented Generation roles. These positions typically require minimal professional experience and focus on foundational skills in data retrieval and AI tools. 'Entree' is a culinary term and not related to job levels or titles.

What does entry mean?

In the context of an Entry Level Retrieval Augmented Generation role, 'entry' typically refers to a position suitable for candidates with minimal professional experience or those new to the field. It often involves basic tasks and may require foundational skills in data retrieval, natural language processing, or related tools, with opportunities for on-the-job training and skill development.

What are the key skills and qualifications needed to thrive as an Entry Level Retrieval Augmented Generation Specialist, and why are they important?

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.

Is it entry or entery?

The correct term for the job level is 'entry' in Entry Level Retrieval Augmented Generation roles. There is no such term as 'entery' in this context. Entry-level positions typically require basic skills and may involve training or onboarding for new professionals.

What is the synonym of entry?

In the context of an Entry Level Retrieval Augmented Generation role, a synonym for 'entry' is 'beginning' or 'initial,' referring to a starting position that typically requires minimal experience. Such roles often serve as a stepping stone for developing skills in data retrieval, natural language processing, and AI tools.

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 (RAG) 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
Full Stack Developer (.NET Core & React) - Q126

Full Stack Developer (.NET Core & React) - Q126

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Posted 10 days ago

Job description

Overview:
Job Title: Full Stack Developer (.NET Core & React)
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 to industries ranging from Healthcare to Financial Services, 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: R2 Technologies is seeking a forward-thinking Full Stack Developer to build highly scalable, cloud-native applications on the Microsoft stack. We expect our engineers to operate at the cutting edge of productivity by utilizing AI-aided development tools (such as GitHub Copilot or Cursor) to accelerate delivery. You will design robust backend microservices with C# and ASP.NET Core while creating highly responsive, interactive user interfaces with modern React. A major focus of this role is building "AI-ready" architectures natively integrated with the Azure AI ecosystem, leveraging Azure OpenAI, Microsoft Semantic Kernel, and agentic workflows to deliver intelligent enterprise solutions.
Key Responsibilities: * Architect, develop, and maintain robust backend RESTful APIs and microservices using C#, .NET 8+, and ASP.NET Core.
  • Build dynamic, responsive, and accessible single-page applications (SPAs) using modern React (Hooks, Context API) and TypeScript.
  • Actively utilize AI-assisted coding tools (e.g., GitHub Copilot, Cursor) to write boilerplate code, generate unit tests, and optimize complex logic.
  • Deeply integrate Azure AI Services (Azure OpenAI, Azure AI Search, Azure Document Intelligence) to build enterprise-grade Retrieval-Augmented Generation (RAG) systems.
  • Orchestrate intelligent, multi-step workflows using Microsoft Semantic Kernel and automation platforms like n8n to reduce manual enterprise operations.
  • Design databases (Azure SQL, Cosmos DB) with vector support in mind to future-proof data models for AI search and LLM consumption.
  • Implement modern CI/CD pipelines using Azure DevOps or GitHub Actions, deploying containerized applications (Docker/AKS) to Microsoft Azure.
  • Participate in code reviews with a focus on security, performance, and validating AI-generated code snippets.

Qualifications: * Up to 3 years of hands-on experience in full-stack software development.
  • Strong proficiency in C# and the .NET Core / .NET 8 ecosystem.
  • Deep understanding of modern React, state management, TypeScript, and core front-end paradigms.
  • Proven experience or strong familiarity working alongside AI coding assistants to enhance productivity.
  • Hands-on knowledge of the Azure ecosystem, specifically integrating LLMs via Azure OpenAI and orchestrating them with Microsoft Semantic Kernel.
  • Familiarity with agentic workflows, vector databases, and workflow automation tools (like n8n).
  • Experience with relational (SQL Server) and NoSQL (Cosmos DB) databases.
  • Excellent communication skills and a passion for adapting to the rapidly evolving AI and .NET landscape.

Skills:
ASP.NET,React.js

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