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Rag Developer Jobs in Raleigh, NC (NOW HIRING)

Frontier Technology Inc.

AI/ML Engineer

Raleigh, NC · Remote

$140K - $220K/yr

... RAG, graph, hybrid). * Write clean, efficient Python code for data ingestion, feature engineering ... embeddings, and inference services. * Experiment with fine-tuning and optimization of LLMs and task ...

Frontier Technology Inc.

AI/ML Engineer

Durham, NC · Remote

$140K - $220K/yr

... RAG, graph, hybrid). * Write clean, efficient Python code for data ingestion, feature engineering ... embeddings, and inference services. * Experiment with fine-tuning and optimization of LLMs and task ...

Percona

Developer Advocate (Remote)

Raleigh, NC · Remote

Experience with AI/ML workloads on databases -- vector search, RAG, embeddings at scale. * A presence in developer communities people already recognize -- a blog with regular readers, a YouTube ...

Deloitte

AI Engineer Consultant

Raleigh, NC · Hybrid

Implement RAG and document intelligence patterns (ingestion, chunking, embeddings, vector/hybrid ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

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 ...

Deloitte

AI Engineer III

Raleigh, NC · Hybrid

Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

GEI Consultants

Data Engineer

Cary, NC · On-site

$106.10K - $127.40K/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 ...

Deloitte

AI Engineer Senior Consultant

Raleigh, NC · Hybrid

$101.60K - $139.50K/yr

Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

Deloitte

AI Data Engineer - Senior Consultant

Raleigh, NC · Hybrid

$101.60K - $139.50K/yr

Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

Deloitte

AI Data Engineer - Senior Consultant

Raleigh, NC · On-site

$103K - $140K/yr

... RAG, document ingestion/chunking, embeddings, vector/hybrid search, and retrieval/evaluation telemetry. • Deliver governed datasets and feature engineering/serving for ML training and real-time ...

NetApp

Principal Product Manager

Morrisville, NC

LLMs, RAG architectures, embeddings/vector retrieval patterns, training vs. inference I/O profiles, orchestration, and enterprise AI data pipelines. * Demonstrated success influencing engineering and ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111.30K - $133.70K/yr

RAG, Embedding, Agents, LLMs, Parameter Tuning * Cloud Computing: AWS * Tools/Products: Data ... AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional ...

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Rag Developer information

What is the difference between Rag Developer vs Textile Technician?

AspectRag DeveloperTextile Technician
CredentialsTypically requires a diploma or degree in textiles or related fieldRequires similar qualifications, often with additional certifications in textile testing
Work EnvironmentFactories, textile mills, production plantsLaboratories, quality control departments, manufacturing facilities
Industry UsageUsed in textile manufacturing to develop and process rags for reuse or recyclingInvolved in testing, quality assurance, and technical support in textile production

Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.

What are popular job titles related to Rag Developer jobs in Raleigh, NC? For Rag Developer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Rag Developer jobs in Raleigh, NC look for? The top searched job categories for Rag Developer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Rag Developer jobs? Cities near Raleigh, NC with the most Rag Developer job openings:
Rag Developer jobs near you
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Raleigh, NC • Remote

$140K - $220K/yr

Full-time

Posted 10 days ago

Job description

Overview

Frontier Technology Inc. (FTI) is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.

FTI delivers mission-focused solutions to the Department of Defense/Department of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.

Responsibilities
  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.
Education/Qualifications

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a secruity clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.

  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.

  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

 Preferred Qualifications:

  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

For this role, the compensation range is $140k-$220k.

*Note: Starting pay will be based on a number of factors and commensurate with the candidate's residence location, qualifications & experience.

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Employment Type: FULL_TIME

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