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Rag Engineer Jobs in Virginia (NOW HIRING)

Amivero

AI Engineer

Reston, VA

Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality, accuracy, explainability, and contextual relevance. * Engineer and optimize prompt orchestration ...

Amivero

AI Engineer

Reston, VA

$75K - $190K/yr

Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality, accuracy, explainability, and contextual relevance. * Engineer and optimize prompt orchestration ...

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

Amivero

AI Engineer

Reston, VA · On-site

$75K - $190K/yr

Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality, accuracy, explainability, and contextual relevance. * Engineer and optimize prompt orchestration ...

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 ...

Accenture Federal Services

AI Engineer

Arlington, VA

The work As an AI Engineer in this role, you will drive the operationalization of advanced AI and ... Architect and deploy Retrieval-Augmented Generation (RAG) solutions and AI orchestration frameworks

Accenture Federal Services

AI Engineer

Arlington, VA

The work As an AI Engineer in this role, you will drive the operationalization of advanced AI and ... Architect and deploy Retrieval-Augmented Generation (RAG) solutions and AI orchestration frameworks

Vantor

AI/ML Engineer

Mclean, VA · On-site

The AI/ML Engineer will implement and maintain RAG pipelines, integrate LLMs into applications, and develop REST API interactions to support data retrieval and system integration. Responsibilities ...

Merican

AWS AI Engineer

Herndon, VA · On-site

AWS AI Engineer Location: Herndon, VA Work Mode: Onsite About the Role We are seeking a highly ... Design and optimize Retrieval-Augmented Generation (RAG) pipelines for performance and scalability

Closure Technologies

AI/ML Engineer

Mclean, VA

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

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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 Jul 19, 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 does a RAG engineer do?

A RAG engineer specializes in managing and analyzing Red, Amber, and Green (RAG) status indicators to monitor project or system performance. They often work with data visualization tools and reporting systems to identify issues and support decision-making in technical or operational environments.

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, roles that require complex manual dexterity, problem-solving in unpredictable environments, or specialized craftsmanship are less likely to be automated by AI. These include skilled trades such as welding, electrical work, and mechanical repair, which depend on hands-on expertise and adaptability. Continuous learning and certification in specialized tools or techniques help ensure job security in evolving technological landscapes.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles may involve leading projects, developing innovative algorithms, and working with large datasets, usually in a corporate or research environment. Compensation at this level reflects significant expertise, experience, and responsibility in the AI field.

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 leadership roles. High compensation often involves working in high-demand industries, holding advanced certifications, or taking on executive-level 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 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 July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $89,735 per year, or $43.1 per hour.

Senior / Lead AI Platform Engineer (Full-Stack, Cloud, RAG & LLMs)

CloudQuest Solutions Inc

Ashburn, VA • On-site

Full-time

Re-posted 7 days ago

Job description


We're seeking a versatile Senior/Lead AI Engineer to architect and build secure, scalable AI solutions across the full stack. You'll work on LLM integration, RAG pipelines, backend services, frontend UI, Azure cloud infrastructure, DevOps, and security. This role is ideal for a strong generalist with deep experience in modern AI frameworks and cloud-native development.
Requirements
Responsibilities
  • Integrate and optimize LLMs (Azure OpenAI, Claude, Gemini) and build orchestration, prompts, and guardrails
  • Build RAG pipelines (LlamaIndex/Haystack/LangChain), vector search, and document ingestion workflows
  • Develop backend APIs/microservices (Python/Node.js) with secure auth (OAuth/OIDC, Entra ID)
  • Build and enhance chat-based UIs/admin dashboards (React/Next.js)
  • Deploy cloud-native services to Azure; implement IaC, CI/CD, monitoring, and logging
  • Ensure data protection, RBAC, encryption, and secure development practices
Required Qualifications
  • 7+ years software engineering experience
  • Strong Python or Node.js skills
  • Hands-on LLM and RAG experience
  • Familiarity with Azure cloud services
  • Strong understanding of OAuth/OIDC and identity systems
  • Experience with React or similar UI frameworks
  • DevOps and CI/CD experience
  • Strong system design and problem-solving skills
Preferred
  • Experience with LlamaIndex, Haystack, LangChain
  • Vector search systems (pgvector, Pinecone, Qdrant, Azure Cognitive Search)
  • Kubernetes/container orchestration
  • Security, governance, and compliance experience
Why Join Us
Work with cutting-edge AI technologies, shape architecture decisions, own features end-to-end, and help build next-generation AI capabilities in a high-impact role.

Apply