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Salaried Rag Jobs in Raleigh, NC (NOW HIRING)

Collibra

Senior AI Engineer

Raleigh, NC · On-site

$101K - $139K/yr

... RAG systems, NLP, neural networks, recommendation engines) * Experience with SQL and relational ... Salary offers are based on a combination of factors, including, but not limited to, experience ...

NVIDIA

Senior AI Security Researcher

Durham, NC

... RAG, synthetic data, or AI-enabled security automation. * Strong cybersecurity foundation ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

Nvidia

Senior AI Security Researcher

Durham, NC

... RAG, synthetic data, or AI-enabled security automation. * Strong cybersecurity foundation ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

Pwc

CTIO-AI Engineer-Sr Associate

Raleigh, NC · On-site

$55K - $187K/yr

... and optimizing RAG pipelines - Leading technical discovery in fast-paced environments ... For residents of Washington state the salary range for this position is: $55,000 - $187,000. Actual ...

Appian Corporation

Senior Technical Consultant

Raleigh, NC · On-site

$100K - $150K/yr

... RAG), agentic workflows, prompt engineering and the latest generative models as a part of ... Willingness to travel; 20% to support customer engagement The base salary for this role is between ...

Nvidia

Senior Software Engineer, Agentic AI

Durham, NC · On-site

$118K - $156K/yr

Work closely with teams building high-performance data pipelines, RAG systems, vector databases ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

Appian Corporation

Senior Technical Consultant

Raleigh, NC · On-site

$100K - $150K/yr

... RAG), agentic workflows, prompt engineering and the latest generative models as a part of ... Willingness to travel; 20% to support customer engagement The base salary for this role is between ...

Appian Corporation

Senior Technical Consultant

Raleigh, NC · On-site

$100K - $150K/yr

... RAG), agentic workflows, prompt engineering and the latest generative models as a part of ... Willingness to travel; 20% to support customer engagement The base salary for this role is between ...

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Showing results 1-20

All JobsSalaried Rag JobsSalaried Rag Jobs in Raleigh, NC

Salaried Rag information

See Raleigh, NC salary details

$31.1K

$56.6K

$81.2K

How much do salaried rag jobs pay per year?

As of Jun 8, 2026, the average yearly pay for salaried rag in Raleigh, NC is $56,619.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $63,200.00 per year, depending on experience, location, and employer.

What is the difference between Salaried Rag vs Salaried Technician?

AspectSalaried RagSalaried Technician
Required CredentialsHigh school diploma or equivalent, specialized trainingHigh school diploma, technical certification or associate degree
Work EnvironmentOffice or field-based, depending on industryIndustrial, manufacturing, or technical settings
Employer & Industry UsageMedia, printing, or creative industriesManufacturing, maintenance, or technical services
Common Search & ComparisonYesYes

The comparison shows that Salaried Rag and Salaried Technician share similar credential requirements and are used in related industries. Salaried Rag typically refers to roles in media or creative fields, while Salaried Technician is common in technical and industrial sectors. Both roles involve specialized skills and are salaried positions, but their work environments and industry applications differ.

What are the most commonly searched types of Rag jobs in Raleigh, NC? The most popular types of Rag jobs in Raleigh, NC are:
What are popular job titles related to Salaried Rag jobs in Raleigh, NC? For Salaried Rag jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Salaried Rag jobs in Raleigh, NC look for? The top searched job categories for Salaried Rag jobs in Raleigh, NC are:
Salaried Rag jobs near you

Senior/Staff AI Engineer

Data Direct Networks

Raleigh, NC

$150K - $250K/yr

Full-time

Posted 25 days ago

Job description

Overview

Build the AI infrastructure layer that determines whether modern models actually work in production.

Most AI roles sit at the application layer. This one does not.

At DDN, we're hiring an AI Engineer to work on the hard part of AI: the systems, storage, and performance infrastructure behind real-world model serving and inference. This is the role for engineers who care about what happens under load, at scale, and in production - not just in demos.

If your background sits at the intersection of AI infrastructure, distributed systems, and performance engineering, this is the kind of role where your depth will matter.

Job Description

What you'll do

  • Build and optimize LLM serving and inference systems for production environments
  • Improve performance across GPU and CPU pathways
  • Work on KV cache, memory, storage, and throughput bottlenecks
  • Design and scale systems that support RAG and retrieval-heavy AI workloads
  • Contribute to infrastructure where storage architecture and systems efficiency materially affect AI performance
  • Solve engineering problems at the intersection of AI, high-performance systems, and distributed infrastructure

What we're looking for

  • An engineer who has spent meaningful time building or optimizing production AI systems, not just experimenting with models
  • Someone who understands how inference performance is shaped by the interaction between compute, memory, storage, and serving architecture
  • Deep hands-on experience working close to the systems layer - for example, improving how workloads run across GPU and CPU resources, reducing bottlenecks, or tuning infrastructure for better throughput and latency
  • Evidence of real ownership in areas like model serving, retrieval, caching, storage, or distributed performance, rather than purely application-layer AI work
  • The ability to move comfortably between architecture decisions and hands-on implementation, especially in environments where efficiency and scale matter
  • A background that suggests you can operate in technically demanding environments, whether that comes from AI infrastructure, high-performance systems, storage platforms, or adjacent distributed systems work
  • PhD preferred, but far less important than having built serious systems in the real world

Why this role is compelling

  • This is not a "prompt engineering" job.
  • This is not an "AI wrapper" job.
  • This is not a generic backend role with AI sprinkled on top.
  • This is a chance to work on the infrastructure that determines whether modern AI systems are fast, scalable, efficient, and commercially viable.
  • If you want to work on the real mechanics of AI performance - serving, retrieval, compute efficiency, memory behavior, storage architecture, and inference at scale - this is where that work happens.

Who will love this role

  • Engineers who enjoy deep systems problems
  • Builders who care about performance, scale, and architecture
  • People who want to work where AI meets infrastructure
  • Candidates who would rather solve hard technical bottlenecks than ship surface-level AI features

Who should not apply

This role is not for:

  • Purely academic researchers without meaningful production ownership
  • Generic software engineers without clear AI systems or inference depth
  • Candidates focused mainly on prompt engineering or lightweight application integrations
  • MLOps generalists who have not worked deeply on serving, storage, or performance-critical AI systems

Salary Range: $150,000 - $250,000

DDN

Why DDN - DDN has deep credibility in high-performance infrastructure, and this role sits in a part of the market where that foundation matters. If you want to build the systems serious AI depends on - rather than the layer that merely sits on top of it - this is a rare opportunity to do exactly that.

Apply if you want to build the infrastructure behind production AI - not just consume it.

#Linkedin

Employment Type: FULL_TIME

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