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Ai Rag Jobs in Nebraska (NOW HIRING)

Woodmenlife

Data and Analytics - AI Engineer II

Omaha, NE · On-site

$109K - $131K/yr

Build and deploy RAG augmented CoPilots into enterprise production environments * Develop data pipelines and infrastructure to support AI workloads * Monitor model performance and implement ...

Deloitte

Finance Analytics & AI Senior Consultant

Omaha, NE · On-site

$111K/yr

Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions. Experience ...

Buildertrend

Senior Product Manager - Search

Omaha, NE · On-site

$150K - $200K/yr

... RAG) and ranking approaches. * Establish and track success metrics like click‑through rate and ... Use provided AI tools (full Claude Code access, etc.) to develop and challenge your own thinking ...

AgCountry

Artificial Intelligence Engineer - Intern

Omaha, NE · On-site

$16 - $20.75/hr

Design and implement prompt engineering strategies, including advanced techniques such as Retrieval-Augmented Generation (RAG), to improve accuracy and contextual relevance. * Evaluate Generative AI ...

Buildertrend

Senior Product Manager - Search

Omaha, NE · On-site +1

$150K - $200K/yr

... RAG) and ranking approaches. * Establish and track success metrics like click-through rate and ... Use provided AI tools (full Claude Code access, etc.) to develop and challenge your own thinking ...

Vumedi Inc.

Principal Software Engineer

Oak, NE

$134K - $180K/yr

Lead technical exploration of new tools - from vector databases and RAG frameworks to real-time video personalization - to keep VuMedi on the edge of applied AI. This role is ideal for someone who ...

Vumedi Inc.

Senior Software Engineer

Oak, NE

$122K - $161K/yr

Lead technical exploration of new tools - from vector databases and RAG frameworks to real-time video personalization - to keep Vumedi on the edge of applied AI. This role is ideal for someone who ...

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Ai Rag information

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 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 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 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 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:

Ai Rag jobs near you
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.

Data and Analytics - AI Engineer II

Omaha, NE • On-site

Woodmenlife
See more jobs at Woodmenlifeexternal

$109K - $131K/yr

Other

Re-posted 16 days ago

Job description

WoodmenLife Home Office, 1700 Farnam Street, Omaha, Nebraska, United States of America •

Omaha, NE, USA

Job Description

Posted Thursday, August 27, 2026 at 5:00 AM

Requisition Job Title: AI Engineer II Division: Business Technology Department: Data & Analytics Location: Home Office (Hybrid – Omaha, NE preferred)

PLEASE NOTE: WoodmenLife will not sponsor applicants for work visas for this position. Applicants must be currently authorized to work in the United States on a full-time basis.

To be considered for this position, applicants must submit a resume that includes their full name, current residential address, email address, and phone number. Resumes that do not contain all required contact information will not be considered.

Role Overview How This Role Fits into WoodmenLife

This role is part of a newly formed AI team within the Data & Analytics function, currently consisting of an AI Engineer Lead (III), Data Scientist I, and an AI Engineer intern. The team works closely with the Data Analytics team s and stakeholders across Business Technology to deliver enterprise AI capabilities.

The AI Engineer II plays a critical role in building and deploying scalable, production-grade AI solutions that support core business functions. This position helps drive WoodmenLife’s transformation into an AI-first organization, modernizing processes across underwriting, claims, customer experience, and risk assessment.

Why You’ll Love This Role

WoodmenLife is seeking an AI Engineer II to help bring AI solutions from concept to reality across the enterprise. In this role, you’ll build systems that go beyond experimentation—delivering real, measurable business impact.

This position is ideal for someone passionate about applying AI in production environments, solving meaningful business problems, and working across a modern cloud-based ecosystem. You’ll gain exposure to end-to-end AI delivery, collaborate with cross‑functional teams, and play a foundational role in scaling AI capabilities across the organization.

WoodmenLife offers a supportive, collaborative environment that encourages growth, innovation, and continuous learning.

This is the Life (WoodmenLife)

As a not-for-profit life insurance company, WoodmenLife is devoted to protecting the financial futures of families and making a difference in hometowns across America. With over 13 5 years of success, our commitment extends beyond our members—we invest in our associates.

We provide an environment that encourages professional growth, creativity, and innovation, while supporting meaningful work that directly impacts our members and communities.

What You’ll Do Key Functions
  • Design and develop AI/ML solutions aligned with business objectives
  • Build and deploy RAG augmented CoPilots into enterprise production environments
  • Develop data pipelines and infrastructure to support AI workloads
  • Monitor model performance and implement continuous improvements
  • Ensure AI solutions meet security, compliance, and governance standards
Day-to-Day Responsibilities
  • Design and build AI/ML solutions for various business units
  • Design and i ntegrate Agentic processes into enterprise systems and workflows
  • Maintain and optimize data pipelines for training and inference
  • Monitor model accuracy, drift, and performance metrics
  • Collaborate with cross-functional teams to deliver scalable solutions
  • Participate in code reviews, documentation, and best practice development
  • Build prototypes, MVPs, and production-ready AI applications
  • Develop agentic workflows and intelligent automation solutions
  • Implement APIs and services for agent integration
  • Apply AIOps/ MLOps practices for deployment, monitoring, and lifecycle management
  • Partner with Data Teams , IT, and business stakeholders
  • Contribute to enterprise AI strategy and adoption
  • Stay current with emerging AI tools and technologies
  • Promote responsible AI practices including fairness, explainability, and compliance
Tools & Technologies

Languages: Python, SQL, C#

Frameworks: TensorFlow, PyTorch , ML.NET

Data Platforms: Snowflake (preferred), SQL Server, Fabric

Projects & Initiatives
  • Advancing enterprise AI/ML capabilities and platforms
  • Building intelligent automation and agent-based workflows
  • Strengthening the organization’s data and AI foundation
  • Driving responsible AI governance and compliance practices
  • Expanding AI adoption across business functions
Qualifications Minimum Qualifications
  • Bachelor’s degree in Computer Science , Data Science, or related field
  • 3–5 years of experience developing AI/ML solutions in production environments
  • Strong programming skills in Python, SQL, and C#
  • Experience with machine learning, deep learning, or NLP
  • Experience with cloud platforms and MLOps practices
  • Strong analytical, problem-solving, and communication skills
  • Ability to manage multiple priorities and meet deadlines
Preferred Qualifications
  • Experience in insurance or financial services
  • Familiarity with underwriting, claims, or risk workflows
  • Experience with Microsoft technology stack and Snowflake
  • Exposure to responsible AI and governance frameworks

AI Engineers may advance to AI Engineer III, with opportunities to expand into senior engineering, architecture, or AI leadership roles as the organization continues scaling its AI capabilities.

Operational Considerations

This is a hybrid role based in Omaha, NE. Candidates should be able to work on‑site as needed to support team collaboration and strategic initiatives.

Leadership Insight

Leadership style is people-centered, focusing on understanding individual strengths, empowering ownership, and fostering a collaborative environment where team members can grow and succeed.

WoodmenLife offers a competitive compensation and benefits package. Learn more: https://www.woodmenlife.org/careers/home-office/benefits/ . Employment is contingent upon successful completion of background checks, which may include criminal, credit, fingerprinting (where required ), drug screening, and reference checks. WoodmenLife is committed to creating an inclusive environment that values diverse perspectives and provides equal opportunities for growth, leadership, and service .

WoodmenLife Home Office, 1700 Farnam Street, Omaha, Nebraska, United States of America,

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