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Rag Developer Jobs in Nebraska (NOW HIRING)

WoodmenLife

Data and Analytics - AI Engineer II

Omaha, NE · On-site

$107K - $150K/yr

AI Engineer II Division: Business Technology Department: Data & Analytics Location: Home Office ... Build and deploy RAG augmented CoPilots into enterprise production environments * Develop data ...

Harris

Demonstrated experience using AI tools (LLMs, prompt engineering, or RAG systems) to improve knowledge work - not just awareness, but hands-on application * Strong writing skills: you can take ...

Harris

Demonstrated experience using AI tools (LLMs, prompt engineering, or RAG systems) to improve knowledge work - not just awareness, but hands-on application * Strong writing skills: you can take ...

Cayenta

Demonstrated experience using AI tools (LLMs, prompt engineering, or RAG systems) to improve knowledge work - not just awareness, but hands-on application * Strong writing skills: you can take ...

Genesys

Optimize retrieval-augmented generation (RAG) and knowledge architectures to extend Genesys ... Engineer contextual AI experiences that leverage real-time data and conversation state . Design how ...

Genesys

Optimizeretrieval-augmented generation (RAG) and knowledge architectures to extend Genesys ... Engineer contextual AI experiences that leverage real-time data and conversation state - Design how ...

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Rag Developer information

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

What is the difference between Rag Developer vs Textile Technician?

AspectRag DeveloperTextile Technician
CredentialsTypically requires a diploma or degree in textiles or related fieldRequires similar qualifications, often with additional certifications in textile testing
Work EnvironmentFactories, textile mills, production plantsLaboratories, quality control departments, manufacturing facilities
Industry UsageUsed in textile manufacturing to develop and process rags for reuse or recyclingInvolved in testing, quality assurance, and technical support in textile production

Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.

What does a RAG engineer do?

A RAG (Red, Amber, Green) engineer develops and maintains systems that use RAG status indicators to monitor project or system health. They often work with data visualization tools, automate status reporting, and analyze performance metrics to support decision-making. Strong skills in data analysis, programming, and understanding of project management are typically required.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in programming, data analysis, and experience with AI frameworks, and they may involve leadership responsibilities or specialized expertise in cutting-edge AI technologies.

Which 3 jobs will survive AI?

For a Rag Developer, roles that require complex manual craftsmanship, creative problem-solving, and specialized knowledge are more likely to persist despite AI advancements. Jobs involving intricate textile design, custom tailoring, and quality inspection rely on human skills and judgment that AI cannot fully replicate. Developing expertise in these areas, along with staying updated on industry tools, can help ensure job security.
What are popular job titles related to Rag Developer jobs in Nebraska? For Rag Developer jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Rag Developer jobs in Nebraska look for? The top searched job categories for Rag Developer jobs in Nebraska are:
Rag Developer jobs near you
Data and Analytics - AI Engineer II

Data and Analytics - AI Engineer II

WoodmenLife

Omaha, NE • On-site

$107K - $150K/yr

Full-time

Posted 4 days ago

Job description

AI Engineer II (Hybrid) YOU MUST CURRENTLY BE IN OMAHA AREA!
Requisition Job Title: AI Engineer II
Division: Business Technology
Department: Data & Analytics
Location: Home Office (Hybrid - Omaha, NE preferred)
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 teams 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 135 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 integrate 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

AI Engineering & Delivery
  • 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

Collaboration & Continuous Improvement
  • 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

  • Cloud Platforms: Azure

  • Tools: Power Automate, AI Foundry, Power Platform

  • 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

Career Growth
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.

Apply