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Ai Rag Jobs in Ellabell, GA (NOW HIRING)

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Ai Rag information

See Ellabell, GA salary details

$29.3K

$53.4K

$76.5K

How much do ai rag jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai rag in Ellabell, GA is $53,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,900.00 and $59,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What cities near Ellabell, GA are hiring for Ai Rag jobs? Cities near Ellabell, GA with the most Ai Rag job openings:
Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Ellabell, GA as of June 2026, with employment types broken down into 25% Full Time, 64% Part Time, 1% Temporary, and 10% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $53,393 per year, or $25.7 per hour.

UPSD Lead AI Architect

United Parcel Service of America, Inc.

Savannah, GA • On-site

$51.50 - $70.50/hr

Full-time

Re-posted 2 days ago

UPS Supply Chain Solutions rating

6.8

Company rating: 6.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

35th of 64 rated delivery companies

Job description

Before you apply to a job, select your language preference from the options available at the top right of this page.
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
Job Description:
Position Summary:
We are seeking a Lead AI Architect to design, develop, and deploy enterprise-scale AI and Generative AI solutions. The ideal candidate will have expertise in LLM-powered applications, agentic AI, RAG architectures, traditional machine learning, and cloud-based AI platforms, while providing technical leadership across cross-functional teams.
Key Responsibilities:
  • Design, develop, and deploy production LLM applications utilizing prompt engineering, context engineering, RAG, and agent orchestration.
  • Architect and implement agentic workflows using LangChain, LlamaIndex, CrewAI, AutoGen, and Hugging Face Transformers.
  • Integrate LLMs with knowledge graphs and multi-agent systems to solve complex business problems.
  • Build scalable RESTful APIs, microservices, and vector database solutions (Pinecone, Weaviate, Milvus, FAISS).
  • Apply AI/ML techniques including deep learning, supervised and unsupervised learning, NLP, NER, text classification, and sentiment analysis.
  • Develop model evaluation frameworks to measure AI quality, safety, and performance.
  • Implement model adaptation techniques including prompt tuning, LoRA, and PEFT.
  • Leverage cloud platforms (Azure ML, Vertex AI) and container technologies (Docker, Kubernetes) to deploy and scale AI solutions.
  • Collaborate with business and technical stakeholders to align AI initiatives with organizational goals.
  • Document AI architectures, deployment patterns, and best practices.

Qualifications:
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field (or equivalent experience).
  • 3+ years of experience in AI/ML, including deep learning, NLP, supervised and unsupervised learning.
  • Proven experience building and deploying LLM-powered applications, RAG pipelines, agent architectures, and evaluation frameworks.
  • Hands-on experience with LangChain, LlamaIndex, CrewAI, AutoGen, and Hugging Face Transformers.
  • Strong Python programming skills with experience in Pandas, PySpark, TensorFlow, and XGBoost.
  • Experience developing production-grade RESTful APIs and microservices.
  • Experience with Azure ML, Vertex AI, and vector databases such as Pinecone, Weaviate, Milvus, or FAISS.
  • Knowledge of Docker, Kubernetes, and modern AI deployment practices.
  • Experience with prompt tuning, fine-tuning, LoRA, and PEFT methodologies.
  • Familiarity with knowledge graphs and multi-agent AI systems.
  • Excellent communication, presentation, and stakeholder management skills.

Employee Type:
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
Other Criteria:
UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.
Basic Qualifications:
Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.

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