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Entry Level Retrieval Augmented Generation Jobs in Atlanta, GA

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 ...

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

Trinet, Inc

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

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

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

DPR Construction

MLOps Engineer

Atlanta, GA · On-site

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 ...

Accenture

Google Data Specialist

Atlanta, GA · On-site

$70K - $196K/yr

Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation. * Contribute to model testing, validation, and documentation. 3. Requirements Gathering & Client ...

KPMG

Director, Salesforce AI Specialist

Atlanta, GA

$53.25 - $70.75/hr

... retrieval-augmented generation (RAG) patterns * Implement agent testing, evaluation, observability, and guardrails, including accuracy, hallucination risk, data access, human-in-the-loop controls ...

New

US Bank

Data Scientist

Atlanta, GA

$111K - $131K/yr

Knowledge of Retrieval-Augmented Generation (RAG) frameworks. * Experience with Azure AI, Azure OpenAI, AWS AI Services, or related cloud AI platforms. * Experience with MLOps and model lifecycle ...

New

City of Marietta, GA

GIS Analyst

Marietta, GA · On-site

Position is distinguished from that of the entry level position by the level of independence the ... Organizes, creates, manipulates, enters and retrieves GIS cadastral data, e.g., records of plats ...

The city of Marietta

GIS Analyst

Marietta, GA · On-site

$22.86 - $26.08/hr

Position is distinguished from that of the entry level position by the level of independence the ... Organizes, creates, manipulates, enters and retrieves GIS cadastral data, e.g., records of plats ...

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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:

Entry Level Retrieval Augmented Generation jobs near you
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.

GenAI Tuning Analyst

USAN

Norcross, GA • On-site

Full-time

Medical, Retirement, PTO

Posted 15 days ago

Job description

****Applicants must be authorized to work for ANY employer in the U.S.

We are unable to sponsor or take over sponsorship of an employment Visa at this time. 

No agencies please.


Role Overview 

As a GenAI Tuning Analyst, you will be responsible for the continuous improvement, accuracy, and "brand voice" of our Generative AI deployments within the Contact Center ecosystem, including agentic bots. You will work at the intersection of data science, linguistics, and customer operations to ensure our AI agents and agent-assist tools provide precise, empathetic, and compliant resolutions. 


This role requires a professional learner; a high-signal individual who pairs raw brainpower and adaptability with the hunger to master the evolving science of AI performance. 


Your goal is to transform generic LLM output into specialized, contact center domain-aware intelligence. 


Key Responsibilities 

  • RLHF & Quality Calibration: Lead Reinforcement Learning from Human Feedback (RLHF) cycles. You will review AI-generated outputs and "grade" them based on accuracy, empathy, and adherence to compliance protocols. 
  • Participate in Customer Tuning monthly meetings pertaining to a complete suite of USAN AI Product Specific deployments. 
  • Performance Monitoring: Define and track AI-specific KPIs, such as Hallucination Rate, Refusal Rate, and Intent Accuracy, alongside traditional metrics like First Contact Resolution (FCR). 
  • Bias & Safety Guardrails: Implement and monitor safety filters to ensure the AI remains neutral, avoids prohibited topics, and protects PII (Personally Identifiable Information). 
  • Cross-Functional Collaboration: Partner with Subject Matter Experts (SMEs) in Legal, Compliance, and Operations to translate business policy into technical model constraints. 
  • Prompt Engineering & Optimization: Iterate on complex system prompts to guide LLM behavior for specific contact center use cases (e.g., automated summaries, live chat responses, and knowledge base retrieval). 
  • Data Curation: Identify and curate high-quality "golden datasets" from historical call transcripts and chat logs to be used for fine-tuning and few-shot prompting. 

Ideal Candidate Skills 

Analytical Pattern Recognition: Naturally identifies patterns in data and customer language, using strong data and business analytics skills to interpret trends and organize information effectively. 

Customer-facing skills for both the supervisory and executive sponsors of AI deployed in USAN’s cloud contact center offerings. 

Comfort with Ambiguity: Able to make thoughtful decisions in gray areas, applying sound judgment to determine how conversational intents should be categorized, merged, or preserved. 

Curiosity About Customer Communication: Interested in how customers naturally express their needs and are able to translate that language into meaningful insights for AI optimization. 

Process Improvement Mindset: Enjoys working with data repeatedly while finding smarter ways process and analyzing it, such as building Excel formulas, spotting systematic issues, and improving workflows. 

Trust-Based Collaboration: Builds credibility and trust with clients and internal teams while working collaboratively to improve AI performance and data quality. 

Functional Requirements Writing: Translate customer feedback into actionable product improvements by gathering input, researching root causes, writing clear technical requirements for developers, and analyzing post-update results (e.g., for agent scorecards/GenAI tools) before returning changes to the customer. 

Required Qualifications 

Experience 

  • 1-2 years in AI/NLP, Data Analysis, high-level Contact Center Operations.  
  • Analyzing Intent Accuracy to identify gaps in the AI’s natural language understanding (NLU/NLP).  
  • UAT Support: Experience assisting in User Acceptance Testing for new AI features or tool rollouts.  
  • Secondary experience in Quality Assurance is a plus.  


Technical Skills

  • Proficiency in prompt engineering techniques (Chain-of-Thought, Few-Shot, Zero Shot).
  • Basic understanding of LLM architectures (GPT-4, Claude, Llama).
  • Skilled at identifying trends in customer interaction data to suggest process improvements.  


Communication

  • Exceptional written and verbal communication skills with an obsession over tone, grammar, and brand consistency.
  • Ability to act as a bridge between technical teams and frontline operations.  
  • Moderate customer meetings to align with company direction on our AI tools.   

Preferred "Bonus" Skills 

  • 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 interaction data. 
  • Familiarity with Contact Center platforms (e.g., Amazon Connect Workspaces, Salesforce Service Cloud, Genesys, Nice, or HubSpot). 

Why This Role Matters 

In the modern contact center, the AI is the first impression. The Tuning Analyst ensures that impression is not just intelligent, but human-centric and helpful. 


Job Benefits:
•Healthcare benefits
•401K plan
•Paid company holidays
•Paid vacation
•Business casual work environment
•Annual performance based bonus program


Company Description

United States Advanced Network, In. (USAN) is a privately held corporation based out of Norcross, GA (a suburb of Atlanta, GA).  USAN is an AWS Advanced Tier Partner specializing in Amazon Connect, helping organizations design and deploy scalable, AI-driven customer interactions that accelerate time to value and maximize ROI. With over 35 years of deep contact center expertise, USAN delivers modern agentic CX solutions and a white-glove approach to optimizing and managing cloud contact center environments through its managed services.   

For more information, please visit us at www.usan.com