1

Ai Rag Jobs in Nebraska (NOW HIRING)

EXPERIENCE WITH LLMS / GENERATIVE AI, RAG ARCHITECTURES, OR NLP USE CASES * EXPOSURE TO MLOPS FRAMEWORKS (MODEL MONITORING, CI/CD PIPELINES, MODEL VERSIONING) * EXPERIENCE WITH DATABRICKS, SNOWFLAKE ...

Sr AI Engineer

Papillion, NE · On-site +1

$98K - $135K/yr

Design and optimize Retrieval-Augmented Generation (RAG) services and agent-based workflows. * Integrate AI platform services with enterprise data platforms and cloud infrastructure. * Implement ...

Sr AI Engineer

Omaha, NE · On-site

$100K - $137K/yr

Design and optimize Retrieval-Augmented Generation (RAG) services and agent-based workflows. * Integrate AI platform services with enterprise data platforms and cloud infrastructure. * Implement ...

Data Scientist - AI Systems

Omaha, NE · On-site +1

$110K - $130K/yr

Working knowledge of generative AI concepts and patterns including RAG architectures, data curation for knowledge bases, prompt engineering, tool-use design, memory/state management, and enterprise ...

Integrate AI models into existing applications and backend systems through APIs and scalable ... Generation (RAG) pipelines * Experience fine-tuning and evaluating machine learning or large ...

Senior AI Solutions Engineer

Omaha, NE · On-site

$128K - $216K/yr

Job Title Senior AI Solutions Engineer About the role As a Senior AI Solutions Engineer, you will ... Design multi-step agent architectures: tool use, retrieval (RAG), memory, orchestration across ...

AI & Automation Engineer

Omaha, NE · On-site

$90K - $120K/yr

... RAG) pipelines with vector databases for domain-specific Q&A. Experience with Azure AI Foundry and ... Azure AI capabilities like document intelligence, computer vision, speech, and more. * Financial ...

... RAG) pipelines with vector databases for domain-specific Q&A. Experience with Azure AI Foundry and ... Azure AI capabilities like document intelligence, computer vision, speech, and more. Financial ...

Optimize retrieval-augmented generation (RAG) and knowledge architectures to extend Genesys solutions where required . Design scalable knowledge and retrieval strategies that ground AI responses in ...

Our AI / ML Engineer role sits at the center of that work: building, operating, and scaling the AI ... Design retrieval and context strategies (RAG, structured data access, caching, chunking, ranking ...

New

next page

Showing results 1-20

Ai Rag information

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 are popular job titles related to Ai Rag jobs in Nebraska? For Ai Rag jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Nebraska look for? The top searched job categories for Ai Rag jobs in Nebraska are:
What cities in Nebraska are hiring for Ai Rag jobs? Cities in Nebraska with the most Ai Rag job openings:
Infographic showing various Ai Rag job openings in Nebraska as of June 2026, with employment types broken down into 31% Full Time, 62% Part Time, and 7% Contract. Highlights an 68% Physical, 2% Hybrid, and 30% Remote job distribution.

Director of AI Enablement & Knowledge Innovation (Lincoln)

UKG (Ultimate Kronos Group)

Lincoln, NE • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


UKG rating

7.8

Company rating: 7.8 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

136th of 242 rated software companies


Job description

UKG (Ultimate Kronos Group) is seeking a leader to own CX Learning knowledge architecture, taxonomy, and AI-enabled workflows. You will shape taxonomy, metadata, and governance while delivering AI-driven, integrated knowledge experiences for learners and support teams.

You will drive AI/RAG deployments, intelligent search, and content lifecycle automation across CMS/LMS/KM ecosystems, with a strong emphasis on governance and measurable impact.

#J-18808-Ljbffr

What UKG employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom