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Vector Databases Jobs in Nebraska (NOW HIRING)

Software Developer

Omaha, NE ยท On-site +1

Azure OpenAI (chat models, embeddings, vector search) * Retrieval-Augmented Generation (RAG ... Azure SQL Database * Enterprise document repositories and business systems * Builds containerized ...

... databases into Snowflake, and applies machine learning, LLMs, and advanced analytics to generate ... Understanding of prompt engineering, embeddings, vector search, and inference optimization * Python ...

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Vector Databases information

What is the salary of a vector database developer?

The salary of a vector database developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Skilled developers with expertise in machine learning, data structures, and database management may earn higher salaries, especially in tech hubs or with advanced certifications.

Are vector databases the future?

Vector database jobs involve managing and optimizing databases designed for high-dimensional vector data, which are essential for AI and machine learning applications. As AI continues to grow, demand for professionals skilled in vector database technologies and related tools like embedding models is expected to increase, making this a promising field for future job opportunities.

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 can you do with a vector database?

A vector database is used in roles involving data management and machine learning to store, search, and retrieve high-dimensional vector representations of data such as images, text, or audio. It enables efficient similarity searches, supporting applications like recommendation systems, natural language processing, and computer vision. Working with a vector database often requires knowledge of data structures, indexing techniques, and programming skills in languages like Python or C++.

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 the top 5 vector databases?

Top vector databases used in data management and AI applications include Pinecone, Weaviate, FAISS, Milvus, and Annoy. These databases are optimized for storing and searching high-dimensional vector data, often requiring skills in machine learning and database management. They are widely adopted for tasks like similarity search and recommendation systems.
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:
Infographic showing various Vector Databases job openings in Nebraska as of June 2026, with employment types broken down into 60% Full Time, 35% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 69% Physical, 2% Hybrid, and 29% Remote job distribution.
Software Developer

Software Developer

Husch Blackwell Llp

Omaha, NE โ€ข On-site, Remote

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 12 days ago


Job description

Husch Blackwell LLPย is a full-service litigation and business law firm with multiple locations across the United States, serving clients with domestic and international operations.

At Husch Blackwell we believe that diverse, equitable and inclusive teams lead to better outcomes. Husch Blackwell is committed to retaining, recruiting, developing, and promoting talented lawyers and business professionals with diverse backgrounds and experiences. We foster an engaged, diverse, and inclusive team culture of accountability and purpose that makes our Firm and our communities better.

Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation. If you are a motivated professional looking for a long-term fit where you can grow in a role, and will be valued and empowered, then we invite you to apply to our Software Developerย position. This position may be filled remotely inย any city with a Husch Blackwell office, or in any of our office locations.

The Software Developer designs, develops, and deploys modern, AI-driven solutions that enhance collaboration, automation, and knowledge access across the organization. This role focuses on implementing enterprise-grade AI applications and intelligent workflow systems using C#/.NET Core, Azure-native services, and emerging AI platforms such as Azure AI Foundry and Copilot Studio. Strong expertise in Azure App Services, Azure Functions (including Durable Functions), event-driven architecture, messaging systems, and cloud-based application development is essential.

This position collaborates with cross-functional technical and business teams to deliver scalable AI-enabled solutions, including Retrieval-Augmented Generation (RAG) knowledge systems, AI agents, secure APIs, and integrated cloud applications. The Artificial Intelligence Implementation Analyst supports the full lifecycle from requirements gathering and architecture through development, deployment, monitoring, and continuous improvement. Essential functions include:

  • Defines, analyzes, and evaluates organizational needs relating to AI-enabled solutions, automation, and collaboration technologies.
  • Partners with stakeholders to gather requirements and design scalable, secure, and maintainable AI applications.
  • Leads development of modern solutions using C# and .NET Core/.NET 8.
  • Develops and deploys cloud-native applications on Azure using:
    • Azure Web Apps / App Services
    • Azure Function Apps
    • Durable Functions for orchestrated AI workflows
  • Implements event-driven and distributed system patterns leveraging:
    • Azure Service Bus
    • Asynchronous messaging and integration frameworks
  • Builds AI-powered solutions using:
    • Azure AI Foundry
    • Azure OpenAI (chat models, embeddings, vector search)
    • Retrieval-Augmented Generation (RAG) architectures
    • AI agents and orchestration frameworks
    • Develops intelligent copilots and assistants using Copilot Studio, integrating enterprise data and workflows
  • Designs and maintains secure APIs and backend services integrating with:
    • Azure SQL Database
    • Enterprise document repositories and business systems
    • Builds containerized workloads using Docker and supports modern deployment strategies
  • Implements observability, telemetry, and performance monitoring through:
    • Azure Application Insights
    • Logging, tracing, and alerting best practices
  • Develops and maintains CI/CD pipelines using Azure DevOps or GitHub Actions to ensure reliable automated deployments.
  • Supports Azure governance and security requirements, including identity, compliance, and networking controls.
  • Provides quality assurance, documentation, and knowledge transfer for developed AI systems.
  • Responds to escalated production issues and provides technical leadership in root cause resolution.
  • Other duties as assigned by IT leadership.

POSITION REQUIREMENTS

  • Bachelorโ€™s degree in Computer Science, Engineering, Data Science, or related field; or equivalent combination of education and commensurate experience required.
  • 5+ years of relevant experience in enterprise application development, AI implementation, or cloud-based engineering, preferably in a professional services environment.
  • Ability to work independently in resolving complex production issues and making recommendations to remediate enterprise application problems.
  • Strong communication skills and ability to collaborate across technical and non-technical teams.
  • Legal industry experience a plus, but not required.
  • Demonstrated proficiency in:
    • C#, .NET Core/.NET 8, ASP.NET
    • Cloud-native backend development and API design
    • Azure App Services, Azure Web Apps, Azure Functions
    • Durable Functions and orchestrated workflows
    • Azure Service Bus and event-driven architecture
    • Azure SQL and relational database development
    • Docker and container-based deployments
    • Application monitoring with Azure Application Insights
    • Experience implementing AI-enabled systems using:
    • Azure AI Foundry
    • Azure OpenAI services
    • Embeddings, vector search, and RAG pipelines
    • AI agent frameworks and automation patterns
    • Copilot Studio or conversational AI platforms
    • Experience with source control and CI/CD tools such as Azure DevOps, GitHub Actions, Git
    • Understanding of Azure infrastructure concepts including:
    • VNets, Private Endpoints, DNS, firewalls, secure networking
    • Identity and access management (Entra ID)

The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities, or requirements. The Firm will provide reasonable accommodations as necessary to allow an individual with a disability to apply for and/or perform the essential functions of a position.ย  If you need assistance to accommodate a disability, please contact HR.

COMPENSATION AND BENEFITS

Employees are entitled to compensation commensurate with skill and experience. The exact compensation will vary based on skills, experience, location, and other factors permitted by law.ย The expected compensation ranges for this position in various states and jurisdictions are as follows:

  • State of California: $116,000 - $237,000
  • State of Colorado: $107,000 - $191,000
  • State of Illinois: $105,000 - $204,000
  • State of Maine: $79,000 - $182,000
  • State of Massachusetts: $116,000 - $222,000
  • State of Maryland: $113,000 - $171,000
  • State of Minnesota: $116,000 - $192,000
  • Jersey City, NJ: $126,000 - $229,000
  • State of New York: $108,000 - $234,000
  • State of Vermont: $115,000 - $220,000
  • State of Virginia: $76,000 - $220,000
  • State of Washington: $113,000 - $214,000
  • Washington, D.C.: $150,000 - $220,000

The above salaries do not include a discretionary bonus, however bonus opportunities are non-guaranteed, and are dependent upon individual and firm performance. Full-time employees receive benefits including: medical and dental coverage; life insurance; short-term and long-term disability insurance; pre-tax flexible spending account for certain medical and dependent care expenses; an employee assistance program; Paid Time Off; paid holidays; participation in a retirement plan program after meeting eligibility requirements; and more.

Please include a cover letter and resume when applying.

EOE/Minority/Female/Disabled/Vet. Principal Applicants Only.

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