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Rag Engineer Jobs in Virginia (NOW HIRING)

Closure Technologies is seeking a AI/ML Engineer who will Implement and maintain Retrieval ... Implement and maintain RAG pipelines, including document processing, embedding generation ...

AI Quality Engineer

Merrifield, VA · On-site

$71K - $92K/yr

It is a specialized engineering position focused on validating AI systems, Retrieval-Augmented Generation (RAG) architectures, agent workflows, orchestration frameworks, observability platforms ...

AI Quality Engineer

Merrifield, VA · On-site

$71K - $92K/yr

It is a specialized engineering position focused on validating AI systems, Retrieval-Augmented Generation (RAG) architectures, agent workflows, orchestration frameworks, observability platforms ...

Closure Technologies is seeking an AI/ML Engineer who will implement and maintain Retrieval ... Responsibilities : • Implement and maintain RAG pipelines, including document processing ...

... 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 ...

Closure Technologies is seeking an AI/ML Engineer who will implement and maintain Retrieval ... Responsibilities : • Implement and maintain RAG pipelines, including document processing ...

... 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 ...

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/yr

Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering, model fne-tuning) * Hands-on exp with OCR, ICR and OMR technologies is a must * Good programming ...

Senior AI/ML Engineer

Herndon, VA · On-site

$140 - $190/hr

Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering, model fne‑tuning) * Hands‑on exp with OCR, ICR and OMR technologies is a must * Good programming ...

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering, model fne-tuning) * Hands-on exp with OCR, ICR and OMR technologies is a must * Good programming ...

Showing results 21-40

Rag Engineer information

See Virginia salary details

$59K

$89.7K

$152.2K

How much do rag engineer jobs pay per year?

As of Aug 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.

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 cities in Virginia are hiring for Rag Engineer jobs? Cities in Virginia with the most Rag Engineer job openings:
Infographic showing various Rag Engineer job openings in Virginia as of August 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $89,735 per year, or $43.1 per hour.

Full-time

Re-posted 21 days ago


Job description

Closure Technologies is seeking a AI/ML Engineer who will Implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into applications, supported by API development and optimizing data storage through Postgres schema refinement.

Clearance Requirement: TS/SCI with Polygraph

Key Responsibilities:

  • Implement and maintain RAG pipelines, including document processing, embedding generation, retrieval configuration, and prompt assembly.
  • Integrate LLMs into applications using available APIs and frameworks.
  • Develop and maintain REST API interactions to support data retrieval and system integration.
  • Design or refine Postgres schemas to improve data organization and query performance.

Required Qualifications:

  • Demonstrated ability to conduct independent technical research, evaluate emerging AI/ML approaches, and apply advanced analytical problem-solving comparable to PhD-level research environments.
  • Ability to rapidly learn and apply new AI/ML methodologies, tools, and frameworks in support of evolving mission requirements.
  • Experience developing AI/ML applications focused on Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows.
  • Strong proficiency in Python and modern AI/ML libraries, frameworks, and API integrations.
  • Active/current TS/SCI with required polygraph.
  • Willingness to work onsite full time.
  • US citizenship required.
  • Senior Labor Category: Minimum 8 years of experience with a Bachelor's degree; or 7 years of experience with a Masters degree; or 6 years of experience with a Doctorate

Preferred Qualifications:

  • Advanced research experience in machine learning, deep learning, natural language processing, generative AI, reinforcement learning, computer vision, or related disciplines.
  • Experience publishing research, contributing to open-source AI/ML initiatives, or leading experimental and prototype development efforts.
  • Familiarity with model evaluation frameworks, fine-tuning workflows, inference optimization, and AI observability/monitoring tools.
  • Experience with vector databases, AWS/cloud environments, Docker, and containerized AI/ML development workflows.
  • Experience designing and integrating REST APIs and scalable data architectures.