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Rag Engineer Jobs in Virginia (NOW HIRING)

eSolutionsFirst, LLC

AI Engineer

Mclean, VA · On-site

The role focuses on LLMs, RAG, Multi-Agent Systems, and MCP, with strong software engineering expertise in Golang, Python and Java. Key Responsibilities * Design, develop, test, deploy, and maintain ...

Virtual Networx

AI/ML Engineer

Mclean, VA · On-site

Python, Machine Learning, Deep Learning, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, SQL, NLP, Computer Vision, Generative AI, LLM, Prompt Engineering, RAG, Vector Databases, REST APIs ...

Interon IT Solutions

AI/ML Engineer

Reston, VA · On-site

The ideal candidate will have strong Python engineering skills, experience deploying ML/GenAI workloads on AWS, and hands-on expertise building RAG pipelines and MLOps workflows. Responsibilities

Apex Systems

AI Quality Engineer

Merrifield, VA · On-site

$60 - $80/hr

AI Quality Engineer**Location:** Merrifield, Virginia (Hybrid) preferred. Open to Remote U.S.Role ... Validate Retrieval-Augmented Generation (RAG) solutions built using Azure AI Search, Azure AI ...

WorkNovas LLC

Machine Learning Engineer

Richmond, VA · On-site

... RAG), and enterprise-scale systems, leveraging Azure AI Foundry, Copilot Studio, and modern ... Engineering, or a related field 5+ years of experience in machine learning, AI engineering, or ...

Bespoketechinc

Software Engineer

Chantilly, VA · On-site

$100 - $125/hr

BT-331 - Software Engineer - SME Location: Chantilly, VA (fully on-site, no remote option) Please ... Develop and integrate LLM-powered capabilities, including Retrieval-Augmented Generation (RAG ...

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Showing results 1-20

All JobsRag Engineer JobsRag Engineer Jobs in Virginia

Rag Engineer information

See Virginia salary details

$59K

$89.7K

$152.2K

How much do rag engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for rag engineer in Virginia is $89,735.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $104,100.00 per year, depending on experience, location, and employer.

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.

How to become a rag engineer?

To become a rag engineer, you typically need a bachelor's degree in engineering, materials science, or a related field. Relevant skills include knowledge of manufacturing processes, quality control, and proficiency with industry tools and equipment; certifications in quality management or safety can also be beneficial. Gaining experience through internships or entry-level positions in manufacturing environments is important for career advancement.

What are popular job titles related to Rag Engineer jobs in Virginia?

For Rag Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Rag Engineer jobs in Virginia look for?

The top searched job categories for Rag Engineer jobs in Virginia are:

What cities in Virginia are hiring for Rag Engineer jobs?

Cities in Virginia with the most Rag Engineer job openings:

Rag Engineer jobs near you
Infographic showing various Rag Engineer job openings in Virginia as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $89,735 per year, or $43.1 per hour.

SENIOR AMAZON BEDROCK/RAG ENGINEER - Remote

Midlothian, VA • Remote

Axyde Analytics
See more jobs at Axyde Analyticsexternal

$99K - $135K/yr

Full-time

Posted 21 days ago

Job description

Axyde Analytics seeks a senior Amazon Bedrock engineer to configure secure retrieval-augmented generation, document processing, structured extraction, source attribution, and policy-mapping capabilities for a federal analytics platform.

Responsibilities

  • Configure Amazon Bedrock managed Knowledge Bases and approved managed retrieval components.

  • Implement secure ingestion and indexing of approved websites, linked documents, PDFs, and enterprise data.

  • Configure foundation models, embedding models, chunking, retrieval, prompts, schemas, and guardrails.

  • Extract structured issues, requirements, entities, relationships, and exact supporting source excerpts.

  • Implement citation-backed responses and traceable mappings between source documents and Government directives.

  • Ensure prompts and Government data remain within the authorized environment and are not used to train external models.

  • Develop measurable evaluation criteria for extraction accuracy, retrieval quality, citation correctness, and hallucination control.

  • Support OCR and managed natural-language-processing services when approved.

  • Document exact models, versions, configurations, limitations, and dependencies.

  • Support live demonstrations, production hardening, monitoring, and continuous improvement.

Required Experience

  • Direct production experience with Amazon Bedrock and Bedrock Knowledge Bases.

  • Experience with managed web crawling, linked-document ingestion, parsing, embeddings, vector retrieval, structured extraction, and RAG evaluation.

  • Strong understanding of prompt security, model governance, guardrails, source attribution, and sensitive-data handling.

  • Experience implementing AI solutions in federal, healthcare, financial, or similarly regulated environments.

  • Ability to work exclusively within an approved AWS managed-service architecture.

Current Baseline

The current baseline includes Amazon Bedrock, managed Knowledge Bases, approved Bedrock-managed retrieval, Claude Sonnet, Titan Text Embeddings, Guardrails, S3, Step Functions, and AWS-native security and monitoring. Exact services, models, versions, and regions will be governed by Axyde’s final approved technical baseline.

Engagement

U.S. citizenship required. Remote within the United States. Immediate availability for proposal validation and demonstration development is preferred. Continued work is contingent upon award.