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Internship Retrieval Augmented Generation Jobs in Georgia

... Retrieval-Augmented Generation (RAG) and knowledge-grounded AI solutions • Integrate AI agents with enterprise systems via REST APIs, databases, and cloud services • Build agent memory, tool ...

MLOps Technical Architect

Atlanta, GA

$63.75 - $77/hr

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

New

MLOps Technical Architect

Decatur, GA

$63.25 - $76.25/hr

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

New

Proficiency in using vector databases and Retrieval-Augmented Generation (RAG) techniques to ground AI models with external data and prevent hallucinations. APIs and Integrations: The ability to ...

MLOps Technical Architect

Scottdale, GA · On-site

$64.75 - $78.25/hr

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

New

MLOps Technical Architect

Clarkston, GA · On-site

$65.50 - $79/hr

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

New

MLOps Technical Architect

Atlanta, GA · On-site

$64 - $77.25/hr

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

New

MLOps Technical Architect

Decatur, GA

$64.75 - $78/hr

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

New

MLOps Technical Architect

Atlanta, GA · On-site

$63.75 - $77/hr

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

New

Senior Data Scientist

Atlanta, GA · On-site +1

$146K - $304K/yr

Knowledge of text embedding models and vector databases for Retrieval Augmented Generation (RAG) systems. * Experience with orchestration frameworks (e.g., LangChain/LangGraph) to build AI agents and ...

Showing results 41-60

Internship Retrieval Augmented Generation information

What are the key skills and qualifications needed to thrive as an intern working with Retrieval Augmented Generation (RAG), and why are they important?

To thrive as an intern in Retrieval Augmented Generation, you need a foundational understanding of natural language processing, machine learning concepts, and strong programming skills, often supported by coursework or research in computer science or data science. Familiarity with tools like Python, PyTorch or TensorFlow, and experience with libraries such as Hugging Face Transformers and vector databases are typically required. Strong analytical thinking, curiosity, and effective communication make candidates stand out in collaborative, research-intensive environments. These abilities are critical for developing, evaluating, and improving RAG systems that combine information retrieval with generative models.

What is an internship in Retrieval Augmented Generation (RAG)?

An Internship in Retrieval Augmented Generation (RAG) is a temporary position, typically for students or early-career professionals, focused on developing or researching AI systems that combine information retrieval with generative models. Interns in this field may work on enhancing how AI models find and use external data sources to generate accurate, context-aware responses. This role often involves tasks such as data preprocessing, implementing retrieval algorithms, fine-tuning language models, and evaluating system performance. It offers valuable hands-on experience with cutting-edge AI technologies and frameworks.

What types of projects or tasks can I expect to work on during an internship in Retrieval Augmented Generation (RAG)?

As an intern in Retrieval Augmented Generation, you can expect to work on projects that involve integrating information retrieval systems with generative AI models. Typical tasks may include curating and preprocessing data sets, developing or fine-tuning retrieval algorithms, evaluating the performance of RAG pipelines, and collaborating with engineers and researchers to improve end-to-end system accuracy. You may also assist in conducting experiments, analyzing results, and documenting findings, all within a collaborative team environment that values innovation and knowledge sharing.

What is the difference between Internship Retrieval Augmented Generation vs Internship Data Analyst?

AspectInternship Retrieval Augmented GenerationInternship Data Analyst
Required SkillsKnowledge of AI, NLP, retrieval systems, programmingData analysis, statistical skills, Excel, SQL
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Employer UsageDevelop AI models, improve retrieval systemsAnalyze data trends, generate reports

Internship Retrieval Augmented Generation focuses on developing AI models that combine retrieval systems with language generation, requiring skills in AI and programming. In contrast, an Internship Data Analyst concentrates on analyzing data sets to inform business decisions, emphasizing statistical and analytical skills. Both roles are common in tech and business sectors but serve different functions within organizations.

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 Internship Retrieval Augmented Generation jobs in Georgia? For Internship Retrieval Augmented Generation jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Internship Retrieval Augmented Generation jobs in Georgia look for? The top searched job categories for Internship Retrieval Augmented Generation jobs in Georgia are:
What cities in Georgia are hiring for Internship Retrieval Augmented Generation jobs? Cities in Georgia with the most Internship Retrieval Augmented Generation job openings:
Infographic showing various Internship Retrieval Augmented Generation job openings in Georgia as of August 2026, with employment types broken down into 64% Full Time, 33% Part Time, and 3% Contract. Highlights an 62% Physical, 3% Hybrid, and 35% Remote job distribution.

AI/ML Engineer, Software Development - Noke

Janus International Group

Atlanta, GA • On-site

$108K - $130K/yr

Full-time

Re-posted 13 days ago


Janus International rating

6.2

Company rating: 6.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

Overview
The AI/ML Engineer is responsible for designing, developing, and deploying scalable artificial intelligence and machine-learning solutions that enhance customer interactions, automate decision-making, and improve operational efficiency. This role involves building intelligent workflows, predictive models, data-driven insights, and automation frameworks in collaboration with cross-functional engineering, product, and support teams.
Responsibilities
AI-Driven Interactions & Automation
  • Design and implement AI-powered conversational flows and automated decisioning logic.
  • Build secure data integrations to enable real-time processing and intelligent responses.
  • Optimize large language model (LLM) workflows for accuracy, performance, and usability.

Data Analytics & Predictive Modeling
  • Apply machine learning techniques to structured and unstructured data from various systems.
  • Develop predictive models to identify trends, detect anomalies, and support proactive decision-making.
  • Implement monitoring and alerting mechanisms to ensure timely detection and escalation of issues.

Real-Time Intelligence for Internal Teams
  • Integrate AI-driven insights into internal tools to support agents and operations teams.
  • Deliver real-time recommendations, next-best-actions, and contextual guidance based on combined system and interaction data.
  • Enhance employee productivity through intelligent assistance and dynamic knowledge retrieval.

Automated Workflows & Operational Safety
  • Build diagnostic and remediation automation with appropriate safety, governance, and auditability controls.
  • Ensure all automated actions adhere to defined compliance, authorization, and security rules.
  • Develop dashboards and reporting tools for system health, workflow performance, and model metrics.

Qualifications
JOB REQUIREMENTS:
Minimum Qualifications
  • 3+ years of experience in AI/ML engineering, data science, or intelligent automation.
  • 3+ years of hands-on experience with modern cloud platforms including compute, data, and AI services.
  • 3+ years of proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Experience building real-time, streaming, or event-driven data pipelines.
  • Proven track record of designing, deploying, and maintaining production-grade ML systems.
  • Knowledge of APIs, microservices, and secure integration patterns.

Preferred Qualifications
  • 3+ years of Experience with IoT, device telemetry, or distributed sensor data systems.
  • 3+ years of Background in LLM tuning, retrieval-augmented generation (RAG), and conversational AI.
  • Familiarity with contact center platforms or enterprise workflow automation systems.
  • Understanding of authentication, authorization, and access-control frameworks.

PHYSICAL DEMANDS:
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position.

What Janus International employees say

Pay

Benefits

Hours and flexibility

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