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Retrieval Augmented Generation Jobs in Arkansas (NOW HIRING)

Cloud Data Engineer

Fayetteville, AR · On-site

$109K - $131K/yr

Prepare the platform to serve downstream AI and ML use cases, including feature stores, vector search (BigQuery, Vertex AI), and Retrieval-Augmented Generation patterns. Document architectures, data ...

(USA) Software Engineer III

Decatur, AR · On-site

$90K - $180K/yr

Experience developing Retrieval-Augmented Generation (RAG) applications and working with Model Context Protocol (MCP) to integrate LLMs with enterprise data, tools, APIs, and external systems.

Build Retrieval-Augmented Generation (RAG) pipelines, agents, and optimized agentic routing. * Perform prompt engineering, context management, token cost optimization, and output evaluation to ...

Experience developing Retrieval-Augmented Generation (RAG) applications and working with Model Context Protocol (MCP) to integrate LLMs with enterprise data, tools, APIs, and external systems.

Experience developing Retrieval-Augmented Generation (RAG) applications and working with Model Context Protocol (MCP) to integrate LLMs with enterprise data, tools, APIs, and external systems.

Experience developing Retrieval-Augmented Generation (RAG) applications and working with Model Context Protocol (MCP) to integrate LLMs with enterprise data, tools, APIs, and external systems.

(USA) Software Engineer III

Rogers, AR · On-site

$90K - $180K/yr

Experience developing Retrieval-Augmented Generation (RAG) applications and working with Model Context Protocol (MCP) to integrate LLMs with enterprise data, tools, APIs, and external systems.

Showing results 21-40

Retrieval Augmented Generation information

What is a retrieval augmented generation?

A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.

What does a retrieval augmented generation engineer do?

A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.

What skills and qualifications are needed for retrieval augmented generation?

To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Arkansas?

The most popular types of Retrieval Augmented Generation jobs in Arkansas are:

What are popular job titles related to Retrieval Augmented Generation jobs in Arkansas?

For Retrieval Augmented Generation jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Retrieval Augmented Generation jobs in Arkansas look for?

The top searched job categories for Retrieval Augmented Generation jobs in Arkansas are:

What cities in Arkansas are hiring for Retrieval Augmented Generation jobs?

Cities in Arkansas with the most Retrieval Augmented Generation job openings:

Staff, Data Engineer - Customer Insights & GenAI

Walmart

Johnson, AR • On-site

$110K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,636 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary...As a Staff Data Engineer, you will lead data-driven projects and platform initiatives while taking ownership of end-to-end technical delivery. You will serve as the technical expert for your team and work closely with product stakeholders and senior leadership to align on strategic priorities and deliver measurable business outcomes. This role will play a critical part in transforming customer survey and feedback data into actionable business intelligence by building scalable data and AI platform capabilities that power intelligent automation, GenAI-powered experiences, and Agentic AI workflows across customer and business operations.
You will lead the development of next-generation Voice of Customer (VoC) solutions, including AI-powered VoC Agents that leverage structured and unstructured customer feedback to generate proactive insights, identify emerging trends, and enable data-driven decision-making across the enterprise. Operating at the intersection of large-scale distributed data platforms, near real-time intelligence, and AI-powered decision systems, you will help deliver advanced automation, intelligent insights, and enhanced customer experiences that drive impact across Walmart’s ecosystem.
About the Team:
By bringing the objective voice of the Walmart customer to all aspects of the business, the Customer Insights team is the trusted source of integrated customer insights for Walmart.
The MyCustomer team brings the voice of the Walmart customer into every aspect of the business by delivering actionable customer insights and experience intelligence at enterprise scale. Our team builds scalable data and AI-driven platforms that transform customer feedback into meaningful insights, enabling teams across Walmart to make faster, customer-centric decisions.
We are focused on modernizing the VoC ecosystem through advanced analytics, GenAI-powered experiences, and Agentic AI capabilities. As part of this team, you will help develop next-generation AI-powered VoC solutions that convert structured and unstructured customer feedback into proactive insights, trend detection, and intelligent recommendations that drive business impact across Walmart. What you'll do...What you'll do:
  • Analyze complex business problems and recommend scalable data, analytics, and AI-driven solutions to deliver measurable business impact.
  • Architect and build scalable data and AI platform solutions for large-scale structured and unstructured customer feedback datasets.
  • Partner with Product, Ecommerce, Operations, and business teams to generate actionable insights and improve customer experience outcomes.
  • Design and develop AI-powered Voice of Customer (VoC) solutions, including GenAI and Agentic AI workflows that enable proactive insights, intelligent recommendations, and automated decision support.
  • Build and operationalize intelligent agents leveraging LLMs, Retrieval-Augmented Generation (RAG), semantic search, and enterprise knowledge systems to enhance customer and business intelligence capabilities.
  • Select and apply appropriate analytical, ML, and AI modeling techniques for complex business problems involving high-volume, multi-source data ecosystems.
  • Employ modern ML, LLM, GenAI, and Agentic AI frameworks, tools, and platforms to accelerate intelligent automation and customer insight generation.
  • Successfully navigate ambiguity and rapidly changing priorities in a fast-paced, customer-centric environment.
  • Present technical solutions and business insights effectively to both engineering and executive leadership audiences.
  • Influence and promote a strong culture of data curiosity, AI innovation, and engineering excellence across teams and stakeholders.
     

What you'll bring:
  • Passion for solving complex business problems with a strong analytical mindset, critical thinking, and data-driven decision-making skills.
  • Strong analytical, diagnostic, and problem-solving capabilities with the ability to translate ambiguous business needs into scalable technical solutions.
  • Strong technical expertise in SQL, Python, R, or other programming languages commonly used in data engineering, analytics, and AI development.
  • Experience designing and building large-scale data platforms and modern data environments including data lakes, warehouses, and cloud-native architectures.
  • Hands-on experience with cloud technologies such as GCP (BigQuery, Data studio, GCS) and modern distributed processing frameworks.
  • Ability to design and manage both relational (e.g., PostgreSQL, MySQL) and non-relational databases.
  • Strong understanding of software engineering principles with experience developing, deploying, and maintaining production-grade data and AI solutions.
  • Experience working with large-scale structured and unstructured datasets to generate insights, build intelligent data products, and tell compelling stories using data.
  • Strong expertise in Machine Learning, Data Science, Generative AI, LLMs, and emerging Agentic AI frameworks and workflows.
  • Strong Knowledge in Data Ingestion framework and orchestration tools.
  • Basic understanding of Docker and Kubernetes for application deployment.
  • Strong debugging, data analysis and optimization abilities.
  • Experience building or integrating AI-powered agents using technologies such as RAG, semantic search, vector databases, prompt engineering, orchestration frameworks, and enterprise knowledge systems.
  • Excellent communication and collaboration skills with the ability to effectively communicate technical concepts and AI-driven insights to both technical and non-technical stakeholders.
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.
The annual salary range for this position is $110,000.00 - $220,000.00 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 and 4 years' experience in software engineering or related field. Option 2: 6 years’ experience in software engineering or related field. Option 3: Master's degree in Computer Science and 2 years' experience in software engineering or related field.
3 years' experience in data engineering, database engineering, business intelligence, or business analytics. Preferred Qualifications...

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

Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master’s degree in Computer Science or related field and 4 years' experience in software engineering or related field, 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... 1601 SE 10th St, Bentonville, AR 72716, United States of America Walmart 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

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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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