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Entry Level Retrieval Augmented Generation Jobs in Georgia

Incident IQ

AI DevEx Engineer

Alpharetta, GA · On-site

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

Equifax, Inc.

Generative AI Engineer

Atlanta, GA · On-site

$140 - $190/hr

Implement prompt engineering and RAG (Retrieval-Augmented Generation) strategies to improve response accuracy. * Integrate GenAI capabilities into data pipelines and dashboards, and APIs for real ...

Holland & Knight

AI Legal Engineer

Atlanta, GA

Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...

USAN

GenAI Tuning Analyst

Norcross, GA · On-site

Experience withRAG (Retrieval-Augmented Generation)frameworks. * Background in Linguistics or Cognitive Science. * Experience with data visualizationtools (Tableau/PowerBI)and basic SQL to pull ...

USAN

GenAI Tuning Analyst

Norcross, GA · On-site

Experience withRAG (Retrieval-Augmented Generation)frameworks. * Background in Linguistics or Cognitive Science. * Experience with data visualizationtools (Tableau/PowerBI)and basic SQL to pull ...

Equifax, Inc.

Generative AI Engineer

Atlanta, GA · On-site

... Retrieval-Augmented Generation) strategies to improve response accuracy. • Integrate GenAI capabilities into data pipelines and dashboards, and APIs for real-time analytics. • Understand how ...

Equifax, Inc.

Generative AI Engineer

Atlanta, GA · On-site

... Retrieval-Augmented Generation) strategies to improve response accuracy. • Integrate GenAI capabilities into data pipelines and dashboards, and APIs for real-time analytics. • Understand how ...

USAN

GenAI Tuning Analyst

Norcross, GA · On-site

Experience with RAG (Retrieval-Augmented Generation) frameworks. * Background in Linguistics or Cognitive Science. * Experience with data visualization tools (Tableau/PowerBI) and basic SQL to pull ...

USAN

GenAI Tuning Analyst

Norcross, GA · On-site

Experience with RAG (Retrieval-Augmented Generation) frameworks. * Background in Linguistics or Cognitive Science. * Experience with data visualization tools (Tableau/PowerBI) and basic SQL to pull ...

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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 August 2026, with employment types broken down into 40% Internship, 40% Full Time, and 20% Contract. Highlights an 100% In-person job distribution.

AI DevEx Engineer

Incident IQ

Alpharetta, GA • On-site

Full-time

Re-posted 2 days ago

Job description

Job Summary:
Incident IQ is a leading workflow management platform for K-12 districts, focused on enhancing operational efficiency. They are seeking an AI DevEx Engineer to develop tools and plugins that empower engineering teams, streamline workflows, and improve the overall educational experience.
Responsibilities:
• Claude Code Tooling: Design and build out robust skills, tools, and agents for our internal Claude Code plugins, eventually scaling this architecture to support multiple distinct engineering workflows.
• Agent Intelligence (The "Brain"): Manage, structure, and expand our internal reference library. You will be responsible for ensuring our agents have the right context and documentation to make highly accurate, business-aligned decisions.
• Monitoring & Troubleshooting: Actively review agent runs, interactions, and logs generated by the engineering teams. You will identify failure points, debug complex agentic loops, and deploy fixes to improve reliability.
• Pioneer FSAD Testing: Design and implement a comprehensive testing suite from the ground up tailored for Full Stack Agentic Development. You will establish robust methodologies to effectively test, evaluate, and benchmark non-deterministic AI results.
• Architectural Leadership: Make sound architectural decisions across the stack (primarily utilizing .NET and React) to ensure scalability, security, and performance of our AI infrastructure.
• Process Transparency: Clearly document and explain your code, architectural choices, and the step-by-step process used to achieve your solutions to technical and non-technical stakeholders.
• Mentorship & Advocacy: Actively mentor and teach engineering teams, creating comprehensive documentation and maintaining an open, feedback-receptive mindset toward the tools you build.
• Empathetic Development: Approach development with deep empathy for existing workflows, ensuring that new solutions enhance our current processes rather than disrupting them for the sake of 'the latest' tech.
Qualifications:
Required:
• Strong command of LLM/Agentic orchestration, including MCP integrations, AI debugging/evaluation methodologies, and core CS fundamentals.
• A focus on data security and privacy is critical.
• Exceptional ability to listen, translate complex technical jargon into actionable insights for non-technical stakeholders, and advocate for user-centric solutions.
• A pragmatic approach to problem-solving that favors simple, scalable solutions over over-engineering.
• Strong general understanding of coding and architectural understanding, with highly preferred experience in .NET (backend) and React (frontend).
Preferred:
• Experience with Retrieval-Augmented Generation (RAG) pipelines, vector databases, or knowledge graphing.
• Experience building internal Developer Experience (DevEx) tools.
• Familiarity with AI evaluation (Evals) frameworks for scoring agent performance.
Company:
Incident IQ transforms the way school districts provide and manage services, including ITSM, ITAM and myriad digital workflows for K-12. Founded in 2016, the company is headquartered in Atlanta, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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