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Rag Engineer Jobs in Raleigh, NC (NOW HIRING)

Henderson Scott

Artificial Intelligence Engineer

Raleigh, NC · On-site

$53.75 - $69.25/hr

Senior AWS AI Platform Engineer - Generative AI | RAG | Agentic AI Location: Raleigh, NC (Hybrid) Salary: $110,000 - $130,000 + Benefits I'm currently supporting a leading enterprise organisation as ...

Dell, Inc.

Senior Systems Engineer

Raleigh, NC · On-site +1

$101K - $139K/yr

... RAG architectures. Familiarity with document processing pipelines, chunking strategies, and ... engineering, experimentation, model training/deployment, RAG pipeline development, prompt ...

ACA Group

AI Operations Engineer

Durham, NC · On-site

$67K - $90K/yr

Help improve retrieval quality for vector search and RAG pipelines * Assist with evaluation frameworks and benchmark creation for LLM systems * Work with engineering teams to validate MCP connectors ...

ACA Group

AI Operations Engineer

Durham, NC · Hybrid

$67K - $90K/yr

Help improve retrieval quality for vector search and RAG pipelines * Assist with evaluation frameworks and benchmark creation for LLM systems * Work with engineering teams to validate MCP connectors ...

RIT Solutions, Inc.

Sr Machine Learning Engineer

Raleigh, NC · On-site

$101K - $139K/yr

Required : • 10+ yrs production ML at scale • LLM/GenAI/RAG deployment • Cloud (AWS/Azure/GCP) • Kubernetes/containerization • Agentic systems & tool orchestration • MCP servers • ...

GEI Consultants

Data Engineer

Cary, NC

$90K - $150K/yr

... as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ... ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

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All JobsRag Engineer JobsRag Engineer Jobs in Raleigh, NC

Rag Engineer information

See Raleigh, NC salary details

$57.8K

$88K

$149.2K

How much do rag engineer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for rag engineer in Raleigh, NC is $87,984.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $102,100.00 per year, depending on experience, location, and employer.

What does a RAG engineer do?

A RAG engineer specializes in managing and analyzing Red, Amber, and Green (RAG) status indicators to monitor project or system performance. They often work with data visualization tools and reporting systems to identify issues and support decision-making in technical or operational environments.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

Which 3 jobs will survive AI?

For a Rag Engineer, roles that require complex manual dexterity, problem-solving in unpredictable environments, or specialized craftsmanship are less likely to be automated by AI. These include skilled trades such as welding, electrical work, and mechanical repair, which depend on hands-on expertise and adaptability. Continuous learning and certification in specialized tools or techniques help ensure job security in evolving technological landscapes.

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 or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles may involve leading projects, developing innovative algorithms, and working with large datasets, usually in a corporate or research environment. Compensation at this level reflects significant expertise, experience, and responsibility in the AI field.

What engineers make $500,000?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $500,000 or more annually, especially with experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding advanced certifications, or taking on executive-level responsibilities.
What are popular job titles related to Rag Engineer jobs in Raleigh, NC? For Rag Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Rag Engineer jobs in Raleigh, NC look for? The top searched job categories for Rag Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Rag Engineer jobs? Cities near Raleigh, NC with the most Rag Engineer job openings:
Rag Engineer jobs near you
Infographic showing various Rag Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 88% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $87,984 per year, or $42.3 per hour.
Sr AI Engineer (RAG Specialist with Strong Python Skills)

Sr AI Engineer (RAG Specialist with Strong Python Skills)

RELX

Raleigh, NC • Hybrid

$104K - $174K/yr

Full-time

Posted 6 days ago

Job description

*** PLEASE NOTE: This role is on-site/hybrid in Raleigh, NC ***

Are you passionate about building next-generation AI solutions that transform how professionals work with information and insights?

Do you thrive on solving complex challenges with Retrieval-Augmented Generation (RAG), agentic AI systems, and cloud-native machine learning technologies?

About our Team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (http://www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).

About the Role

We are seeking a highly skilled AI Engineer with expertise in Retrieval-Augmented Generation (RAG) and strong Python programming skills to join our innovative team. The ideal candidate will have a deep understanding of AI and machine learning principles, experience with RAG models, and a passion for developing cutting-edge AI solutions.

Key Responsibilities:

  • Test, evaluate and and implement AI models with a focus on Retrieval-Augmented Generation (RAG).

  • Strong prompt engineering and prompt testing skills to derive the desired outcome

  • Collaborate with cross-functional teams to integrate AI solutions into existing systems.

  • Optimize and fine-tune RAG models for performance and scalability cost saving.

  • Conduct research and stay up-to-date with the latest advancements in AI and machine learning.

  • Design, build, and deploy agentic AI systems capable of autonomous planning, tool use, and multi-step task execution using frameworks such as LangGraph, AutoGen, or CrewAI.

  • Architect and deploy AI/ML and RAG solutions on AWS, leveraging services such as SageMaker, Bedrock, Lambda, and S3.

  • Write clean, efficient, and maintainable code in Python.

  • Perform data preprocessing, feature engineering, and model evaluation.

  • Troubleshoot and debug AI models and applications in a mono-repo settings.

  • Document AI models, processes, and workflows.

Qualifications:

  • Proven experience as an AI Engineer or similar role.

  • Strong proficiency in Python programming.

  • In-depth knowledge of Retrieval-Augmented Generation (RAG) models.

  • Proven experience in prompt engineering

  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).

  • Proficiency in data preprocessing and feature engineering techniques.

  • Hands-on experience building agentic AI applications, including tool/function calling, multi-agent orchestration, and autonomous workflow design.

  • Demonstrated experience with AWS cloud services (e.g., SageMaker, Bedrock, Lambda, EC2, S3) for developing and deploying AI/ML solutions.

  • Excellent problem-solving skills and attention to detail.

  • Strong communication and teamwork abilities.

Preferred Skills:

  • Experience with cloud platforms, particularly AWS (e.g., SageMaker, Bedrock, Lambda, ECS/EKS, S3); familiarity with Azure or Google Cloud is a plus.

  • Experience with agentic AI frameworks and tooling (e.g., LangGraph, LangChain, AutoGen, CrewAI, AWS Bedrock Agents, Model Context Protocol).

  • AWS certification (e.g., AWS Certified Machine Learning - Specialty or AWS Certified Solutions Architect).

  • Knowledge of natural language processing (NLP) techniques.

  • Familiarity with version control systems (e.g., Git).

  • Experience with deploying AI models in production environments.

Work in a Way That Works for You

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working Pattern

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

About the Business

LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. #AIFluent

U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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