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Vector Databases Jobs in Springdale, AR (NOW HIRING)

Hands on AI engineering experience in using LLMs, prompt engineering, embeddings, vector databases, semantic search, or RAG-based architectures. * Exposure to Anthropic ecosystem concepts such as ...

(USA) Staff, Software Engineer

Elkins, AR · On-site

$110K - $220K/yr

Hands on AI engineering experience in using LLMs, prompt engineering, embeddings, vector databases, semantic search, or RAG-based architectures. * Exposure to Anthropic ecosystem concepts such as ...

Hands on AI engineering experience in using LLMs, prompt engineering, embeddings, vector databases, semantic search, or RAG-based architectures. * Exposure to Anthropic ecosystem concepts such as ...

Hands on AI engineering experience in using LLMs, prompt engineering, embeddings, vector databases, semantic search, or RAG-based architectures. * Exposure to Anthropic ecosystem concepts such as ...

(USA) Staff, Software Engineer

Rogers, AR · On-site

$110K - $220K/yr

Hands on AI engineering experience in using LLMs, prompt engineering, embeddings, vector databases, semantic search, or RAG-based architectures. * Exposure to Anthropic ecosystem concepts such as ...

(USA) Staff, Software Engineer

Lowell, AR · On-site

$110K - $220K/yr

Hands on AI engineering experience in using LLMs, prompt engineering, embeddings, vector databases, semantic search, or RAG-based architectures. * Exposure to Anthropic ecosystem concepts such as ...

Hands on AI engineering experience in using LLMs, prompt engineering, embeddings, vector databases, semantic search, or RAG-based architectures. * Exposure to Anthropic ecosystem concepts such as ...

Hands on AI engineering experience in using LLMs, prompt engineering, embeddings, vector databases, semantic search, or RAG-based architectures. * Exposure to Anthropic ecosystem concepts such as ...

Hands on AI engineering experience in using LLMs, prompt engineering, embeddings, vector databases, semantic search, or RAG-based architectures. * Exposure to Anthropic ecosystem concepts such as ...

Hands on AI engineering experience in using LLMs, prompt engineering, embeddings, vector databases, semantic search, or RAG-based architectures. * Exposure to Anthropic ecosystem concepts such as ...

Hands on AI engineering experience in using LLMs, prompt engineering, embeddings, vector databases, semantic search, or RAG-based architectures. * Exposure to Anthropic ecosystem concepts such as ...

Hands on AI engineering experience in using LLMs, prompt engineering, embeddings, vector databases, semantic search, or RAG-based architectures. * Exposure to Anthropic ecosystem concepts such as ...

Hands on AI engineering experience in using LLMs, prompt engineering, embeddings, vector databases, semantic search, or RAG-based architectures. * Exposure to Anthropic ecosystem concepts such as ...

(USA) Staff, Software Engineer

Noel, MO · On-site

$110K - $220K/yr

Hands on AI engineering experience in using LLMs, prompt engineering, embeddings, vector databases, semantic search, or RAG-based architectures. * Exposure to Anthropic ecosystem concepts such as ...

Hands on AI engineering experience in using LLMs, prompt engineering, embeddings, vector databases, semantic search, or RAG-based architectures. * Exposure to Anthropic ecosystem concepts such as ...

Hands on AI engineering experience in using LLMs, prompt engineering, embeddings, vector databases, semantic search, or RAG-based architectures. * Exposure to Anthropic ecosystem concepts such as ...

Hands on AI engineering experience in using LLMs, prompt engineering, embeddings, vector databases, semantic search, or RAG-based architectures. * Exposure to Anthropic ecosystem concepts such as ...

(USA) Staff, Software Engineer

Goshen, AR · On-site

$110K - $220K/yr

Hands on AI engineering experience in using LLMs, prompt engineering, embeddings, vector databases, semantic search, or RAG-based architectures. * Exposure to Anthropic ecosystem concepts such as ...

Hands on AI engineering experience in using LLMs, prompt engineering, embeddings, vector databases, semantic search, or RAG-based architectures. * Exposure to Anthropic ecosystem concepts such as ...

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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.
(USA) Staff, Software Engineer

(USA) Staff, Software Engineer

Walmart

Springdale, AR • On-site

$110K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 hours ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 21,840 frontline employees who took The Breakroom Quiz

22nd of 39 rated national retailers


Job description

Position Summary...What you'll do... We are looking for an experienced software engineer with strong backend, cloud, and platform engineering expertise. The ideal candidate will have hands-on experience building scalable distributed systems, cloud-native applications, microservices, and developer platforms. As a Staff Software Engineer you will be required to have technical depth, and the ability to influence design decisions, improve engineering practices, and collaborate across teams. You should be comfortable solving complex technical problems, supporting production systems, mentoring engineers, and driving reliable, high-quality delivery. What You Will Do
  • Design, build, and maintain scalable backend services, microservices, and cloud-native applications.
  • Contribute to platform engineering initiatives, internal developer tools, CI/CD improvements, and developer productivity.
  • Translate business and technical requirements into reliable, maintainable software solutions.
  • Build and support event-driven systems using Kafka or similar messaging technologies.
  • Design and optimize data storage using relational and NoSQL databases.
  • Improve system reliability, performance, observability, and operational readiness.
  • Troubleshoot production issues, resolve defects, and support smooth releases.
  • Participate in architecture discussions, design reviews, code reviews, and technical planning.
  • Create documentation, operational playbooks, reusable patterns, and engineering best practices.
  • Collaborate with product, engineering, and cross-functional teams to deliver outcomes.
  • Mentor engineers and help foster a culture of technical excellence.
Technical Skills Needed
  • Strong proficiency in Java, object-oriented design, data structures, algorithms, concurrency, and performance optimization.
  • Hands-on experience with Spring Boot, RESTful services, microservices, and cloud-native development.
  • Experience with cloud platforms such as Azure or GCP.
  • Experience with Kafka or similar event-streaming/messaging platforms.
  • Strong knowledge of relational and/or NoSQL databases.
  • Experience with CI/CD pipelines, Git-based workflows, build tools, automated testing, and deployment practices.
  • Familiarity with Docker, Kubernetes, or other containerization/orchestration technologies.
  • Experience with observability tools for logging, monitoring, and distributed tracing.
  • Working knowledge of React, HTML, CSS, and modern JavaScript is a plus.
  • Strong troubleshooting, debugging, production support, and reliability engineering skills.
  • Good understanding of Agile/Scrum methodologies.
  • Strong communication, collaboration, stakeholder management, and mentoring skills.
  • Hands on AI engineering experience in using LLMs, prompt engineering, embeddings, vector databases, semantic search, or RAG-based architectures.
  • Exposure to Anthropic ecosystem concepts such as Model Context Protocol (MCP), Claude Code, Claude Agent SDK, tool use, agentic workflows, context management, and human-in-the-loop AI automation.
Nice to Have
  • Experience building or operating enterprise-scale CI/CD platforms or internal developer platforms.
  • Knowledge of platform engineering, developer experience, and Internal Developer Platform principles.
  • Experience with performance engineering, scalability optimization, and reliability engineering.
  • Understanding of responsible AI practices, model evaluation, guardrails, or LLMOps.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
Bentonville, Arkansas US-09050: The annual salary range for this position is $110,000.00 - $220,000.00
Sunnyvale, California US-11657: The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.
Option 2: 6 years’ experience in software engineering or related area.Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...805 Se Moberly Ln., Bentonville, AR 72712, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

What Walmart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Walmart logo

About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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