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Vector Databases Jobs in Nebraska (NOW HIRING)

Data / ML Engineer

Omaha, NE · Hybrid

$109K - $131K/yr

Design and implement RAG pipelines, vector database integrations, and data ingestion workflows * Develop and optimize prompt engineering and fine-tuning approaches for enterprise LLM use cases

$185K - $198K/yr

Experience with RAG architectures and vector databases / vector search . * Experience with cloud platforms ( Azure and/or AWS ). * Strong troubleshooting, incident management, and root-cause analysis ...

Senior Software Engineer

Oak, NE · On-site

$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 ...

Principal Software Engineer

Oak, NE · On-site

$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 ...

... 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 Services Experience:

Vector databases (design/usage/integration) * Model build + deployment * GenAI model build: training, fine-tuning, validation * Model deployment (serving patterns, monitoring, iteration) * Containers ...

... 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 Services ...

Senior AI Solutions Engineer

Omaha, NE · On-site

$128K - $216K/yr

Working knowledge of RAG architectures, vector databases, embedding models, and the evaluation methodology * Experience building and publishing MCP servers, or building agents that consume them

Senior AI Solutions Engineer

Omaha, NE · On-site

$128K - $216K/yr

Working knowledge of RAG architectures, vector databases, embedding models, and the evaluation methodology * Experience building and publishing MCP servers, or building agents that consume them

Vector Databases information

What are vector databases?

Vector databases are specialized databases designed to store, manage, and search high-dimensional vector data, which is commonly generated from machine learning models, such as embeddings from natural language processing or image recognition. They enable efficient similarity search operations, such as finding the most similar items to a given query vector, which is essential for applications like recommendation systems, semantic search, and AI-powered search engines. Unlike traditional databases that handle structured or unstructured data, vector databases are optimized for fast and scalable similarity searches on large datasets of vectors.

What are some common challenges faced when working with vector databases, and how can they be addressed?

Professionals working with vector databases often encounter challenges such as efficiently scaling to handle large datasets, ensuring low-latency similarity searches, and integrating the database with machine learning pipelines. To address these, teams typically implement distributed architectures, fine-tune indexing strategies, and collaborate closely with data engineers and machine learning specialists. Staying updated with the latest developments in vector database technologies and maintaining clear communication with cross-functional teams are also key to overcoming these challenges.

What is the difference between Vector Databases vs Data Engineers?

AspectVector DatabasesData Engineers
Required SkillsDatabase management, data modeling, query optimizationData pipeline development, ETL processes, programming
Work EnvironmentData storage systems, AI/ML projects, cloud platformsData infrastructure, cloud environments, big data tools
Industry UsageAI, machine learning, recommendation systemsData integration, analytics, data architecture

While Vector Databases focus on storing and querying high-dimensional vector data for AI applications, Data Engineers build and maintain data pipelines and infrastructure to support data analysis and machine learning workflows. Both roles are essential in data-driven industries but serve different functions within the data ecosystem.

What are the key skills and qualifications needed to thrive as a Vector Database Engineer, and why are they important?

Success as a Vector Database Engineer requires a strong background in computer science, database management, and experience with machine learning or AI-driven data systems. Familiarity with vector database platforms (such as Pinecone, Milvus, or Weaviate), cloud infrastructure, and proficiency in languages like Python are typically expected. Strong problem-solving skills, effective communication, and the ability to work cross-functionally help engineers stand out. These competencies are vital to efficiently design, deploy, and maintain scalable vector search solutions that power modern AI applications.
What are popular job titles related to Vector Databases jobs in Nebraska? For Vector Databases jobs in Nebraska, the most frequently searched job titles are:
What cities in Nebraska are hiring for Vector Databases jobs? Cities in Nebraska with the most Vector Databases job openings:
Data / ML Engineer

$109K - $131K/yr

Other

Medical, Retirement, PTO

Posted 2 days ago


Job description

Data / ML Engineer

Job Level: W2T Consultant

Job Location: Hybrid/Onsite-Must be a local candidate to Omaha, NE. 3-4 days a week in office is required.

Travel Expectations: None

Job Classification: Temporary (W2T), Contractor (1099)

Join Centric Consulting - A Culture You'll Love

At Centric Consulting, we've cultivated a unique approach to business. Our business is built on three fundamental principles: Enjoy the people you work with, have fun, and do great work. These principles define our consulting model and have crafted one of the most vibrant cultures in the consulting industry - celebrating individuals, collaboration, and lifelong friendships.

Centric Consulting is seeking a Data / ML Engineer to support the design, development, and operationalization of AI and GenAI pipelines within a regulated financial services environment. This role is focused on data pipelines, model lifecycle management, and governance, partnering with application and AI engineers to ensure AI systems are reliable, explainable, and compliant.

In this role, you will:

  • Design and implement RAG pipelines, vector database integrations, and data ingestion workflows
  • Develop and optimize prompt engineering and fine-tuning approaches for enterprise LLM use cases
  • Build and maintain MLOps pipelines, including model versioning, monitoring, retraining, and rollback strategies
  • Ensure data quality, lineage, and auditability across AI systems
  • Implement controls supporting model governance, explainability, and audit readiness
  • Partner with security, compliance, and risk teams to meet regulatory expectations
  • Support AI engineers with data and model insights to improve solution accuracy and reliability


Who You Are:

  • A data-focused engineer with strong experience supporting production ML and GenAI systems
  • Comfortable operating across data engineering, ML workflows, and governance requirements
  • Experienced working with financial or sensitive data in regulated environments
  • Detail-oriented, methodical, and focused on long-term operability and compliance

Education & Experience

  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field required
  • 5+ years experience in data engineering or ML engineering roles
  • Strong proficiency in Python and the modern Python data stack
  • Hands-on experience with vector databases, RAG architectures, or LLM lifecycle management
  • Experience implementing MLOps practices in production environments
  • Financial services or regulated-industry experience strongly preferred

Total Rewards:

We proudly offer competitive compensation, a comprehensive and well-rounded benefits package for full-time employees that have been designed to nourish your well-being, such as health coverage, wellness programs, 401K company match, self-managed PTO, and other unique incentives that celebrate your accomplishments.

  • Remote and Hybrid Work
  • Time Off When You Need It
  • Benefits That Flex
  • Professional Development

While benefits eligibility may vary for roles that are not full-time, we provide unique opportunities for growth, skill development, and more. Regardless of your role, you'll be part of a collaborative environment where every team member contributes to our shared success.

Discover more about our benefits by exploring additional details here benefits.

Who We Are:

Founded in 1999 with a remote workforce, we combine the benefits of experience, flexibility, and cost efficiency to create tailored solutions centered on what's best for businesses. Now numbering more than 1,400 employees in the U.S. and India, we're committed to solving clients' toughest problems and delivering on our mission of providing unmatched experiences.

Our purpose at Centric Consulting is to bringunmatched experiencesto clients and employees. These aren't just words we use - it's how we became a company and who we are today. Providing an unmatched experience means we approach each other as human beings and lead with empathy and humility. It means we work diligently to ensure we are a place where everyone can create a sense of belonging and feel respected for who they are.

What Makes Centric a Great Place to Work?

We know that creating and sustaining an authentically welcoming culture requires that we all play a part inpromotingdiversity, equity, and inclusion, from our business practice to how we show up for employees and communities. This is how we bringour mission and core valuesto life, working together to provide the highestqualityservices to our clients while allowing our employees to reach their full potential. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws.

Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the application or interview process.