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Ai Rag Jobs in Cary, NC (NOW HIRING)

Infosys

GEN AI Full Stack Engineer

Raleigh, NC · On-site

Required Skill and Experience • Strong hands-on experience in AI/ML, GEN AI, Agentic AI , RAG and React/Next.JS • Proficiency in back-end technologies such as Node.js, Python (Fast API/Django ...

Dell, Inc.

Senior Systems Engineer, Data Management

Raleigh, NC · On-site +1

$101K - $139K/yr

... AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and ...

Peter Millar LLC

Sr. AI Engineer

Durham, NC · On-site

$140 - $190/hr

The Senior AI/ML Engineer helps move AI from consultant-led pilots to a sustainable internal ... Implement LLM and RAG solutions grounded in governed One Lake data, using the Model Context ...

Berriehill Research

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

Working closely with business units, engineers, and functional teams, you will leverage applied AI technologies including large language models (LLMs), retrieval-augmented generation (RAG), AI agents ...

ARA

Senior AI Technologist

Raleigh, NC · On-site

$48.75 - $63/hr

Working closely with business units, engineers, and functional teams, you will leverage applied AI technologies including large language models (LLMs), retrieval-augmented generation (RAG), AI agents ...

Itron, Inc

AI Developer

Raleigh, NC · On-site

Implement AI integration patterns such as retrievalaugmented generation (RAG), tool/function calling, and agentbased workflows into applications and internal tooling. * Create and maintain API ...

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Ai Rag information

See Cary, NC salary details

$29.6K

$54K

$77.4K

How much do ai rag jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ai rag in Cary, NC is $53,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,400.00 and $60,200.00 per year, depending on experience, location, and employer.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What are popular job titles related to Ai Rag jobs in Cary, NC?

For Ai Rag jobs in Cary, NC, the most frequently searched job titles are:

What job categories do people searching Ai Rag jobs in Cary, NC look for?

The top searched job categories for Ai Rag jobs in Cary, NC are:

What cities near Cary, NC are hiring for Ai Rag jobs?

Cities near Cary, NC with the most Ai Rag job openings:

Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Cary, NC as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $53,959 per year, or $25.9 per hour.

Sr AI Engineer (RAG Specialist with Strong Python Skills)

RELX

Raleigh, NC • Hybrid

$104K - $174K/yr

Full-time

Re-posted 19 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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