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Rag Engineer Jobs in Raleigh, NC (NOW HIRING)

Sr Machine Learning Engineer

Raleigh, NC · On-site

$101K - $139K/yr

Job Summary : RIT Solutions, Inc. is seeking a Senior Machine Learning Engineer to work on ... The role involves deploying LLM/GenAI/RAG systems and requires expertise in cloud technologies and ...

... RAG) architectures. • Act as the primary technical liaison between various teams including AWS ... Strong programming skills in Python, Java, and REST APIs. • Experience with AI governance and ...

Senior AI/ML Engineer

Raleigh, NC · Remote

$90 - $100/hr

The role includes LLM orchestration, RAG pipelines, vector database integration, and multi-agent systems. The engineer will build predictive models, apply document AI with transformers, and integrate ...

... RAG), and the engineering of agentic systems using the AWS Bedrock AgentCore framework. • Build the 'Agent Factory' that drives our 'conveyor belt' of software delivery, moving us from a reactive ...

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 ...

AI Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms ... Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ...

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 ...

Data Engineer

Cary, NC · On-site

$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 ...

Data Engineer

Cary, NC · On-site

$106K - $127K/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 ...

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ...

Software Engineering Country/Region: United States of America State: North Carolina City ... Build and maintain RAG systems, vector stores, and external tool integrations. * Deploy and scale ...

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Rag Engineer information

See Raleigh, NC salary details

$57.8K

$88K

$149.2K

How much do rag engineer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for rag engineer in Raleigh, NC is $87,979.00, 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.

How to become a RAG engineer?

A RAG (Red, Amber, Green) engineer typically works in risk assessment or project management, requiring a background in engineering, data analysis, or related fields. Developing skills in data visualization tools, risk management methodologies, and obtaining relevant certifications can enhance qualifications for this role.

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, jobs that require complex manual skills, problem-solving, and hands-on work are more likely to survive AI automation. These include roles such as skilled trades like welding or machining, specialized maintenance technicians, and quality control inspectors. Such positions often depend on physical dexterity, judgment, and adaptability that AI and automation are less capable of replicating fully.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms.

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 in high-demand industries. Executive engineering roles or those with significant leadership responsibilities may also reach this compensation level.
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:

Senior Data Scientist II - Generative AI / RAG / Agentic AI

LexisNexis(LNLP)

Raleigh, NC • On-site

$125K - $209K/yr

Other

This job post has expired today. Applications are no longer accepted.


LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

150th of 428 rated business services


Job description

Are you excited to shape the next generation of AI-powered drafting and search experiences at scale?
Do you want to work on advanced Generative AI systems that turn complex information into clear, trusted insights?
About our Team
You will join a multidisciplinary team of data scientists, engineers, and product partners focused on building intelligent, reliable, and responsible AI solutions for legal and business professionals. We work collaboratively, value thoughtful experimentation, and prioritize high-quality, production-ready outcomes.
About the Role
As a Senior Data Scientist II, you will design and improve Generative AI, Retrieval-Augmented Generation (RAG), and agentic RAG systems that power drafting, search, and reasoning use cases. You will focus on retrieval quality, evaluation, and production-grade machine learning components, working closely with cross-functional partners to deliver measurable improvements in relevance, accuracy, and user trust.
Responsibilities
  • Design, build, and optimize Generative AI, RAG, and agentic RAG systems for drafting, search, and reasoning use cases
  • Improve LLM-generated outputs through prompt design, retrieval optimization, evaluation, and experimentation
  • Develop and maintain scalable data science and machine learning components for production environments
  • Build and enhance retrieval pipelines, including query processing, document retrieval, ranking, reranking, and grounding strategies
  • Apply text search and relevance tuning techniques using platforms such as OpenSearch and Solr
  • Use embeddings, hybrid retrieval, semantic search, and reranking methods to improve answer quality and system performance
  • Write high-quality, maintainable, production-ready Python code following strong software engineering practices
  • Collaborate closely with partners across data science, engineering, product, and domain teams

Requirements
  • Proven experience building and improving Generative AI and LLM-based solutions in production or near-production settings
  • Strong experience with RAG frameworks, retrieval-based AI architectures, and agentic workflows
  • Advanced Python skills, including modular design, testing, debugging, and clean coding practices
  • Strong understanding of information retrieval, text search methods, and retrieval architectures
  • Hands-on experience with OpenSearch, Solr, or similar search platforms
  • Experience with embeddings, semantic retrieval, reranking, and relevance optimization
  • Proven ability to work effectively in a monorepo environment with disciplined version control and code review practices
  • Experience collaborating in cross-functional teams and contributing to CI/CD and deployment workflows

Work in a Way That Works for You
We promote flexible ways of working that support collaboration, focus, and personal wellbeing, while meeting the needs of our teams and customers.
Working Pattern
This role supports flexible working arrangements, balancing individual productivity with team collaboration.
About the Business
You will be part of the LNLP division, within the Standard business unit, delivering trusted information and technology solutions that help professionals make confident decisions.
#AIFluent
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.
If performed in Maryland, the base pay range is $110,100 - $183,500.If performed in New York, the base pay range is $115,400 - $192,200.If performed in New York City, the base pay range is $125,900 - $209,700.If performed in Rochester, NY, the base pay range is $104,900 - $174,700.If performed in New Jersey, the base pay range is $123,816 - $197,784.
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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