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Rag Engineer Jobs in Virginia (NOW HIRING)

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

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 ...

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

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 ...

... 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 ...

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

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

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

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

Engineer

Mclean, VA · On-site

$100K - $120K/yr

The ideal candidates should have hands-on knowledge of modern programming languages, familiarity ... Implement RAG and AI Pipelines : Create end-to-end GenAI workflows using vector databases ...

Engineer

Mclean, VA · On-site

$100K - $120K/yr

The ideal candidates should have hands-on knowledge of modern programming languages, familiarity ... Implement RAG and AI Pipelines : Create end-to-end GenAI workflows using vector databases ...

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Showing results 1-20

Rag Engineer information

See Virginia salary details

$59K

$89.7K

$152.2K

How much do rag engineer jobs pay per year?

As of Jul 28, 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 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:
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 AI Engineer - Generative AI / RAG

Senior AI Engineer - Generative AI / RAG

Ampcus Inc

Chantilly, VA • On-site

$57 - $73.75/hr

Full-time

Posted 7 days ago


Job description

Job Summary:
Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are seeking a Senior AI Engineer with strong expertise in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) to build enterprise AI knowledge platforms and intelligent search solutions.
Responsibilities:
• Design and implement RAG-based AI solutions and enterprise knowledge bases.
• Integrate LLMs (OpenAI, Claude, Llama, etc.) into business applications.
• Develop AI-powered chatbots, search, and conversational AI platforms.
• Build and optimize data ingestion, embedding, and retrieval pipelines.
• Work with vector databases such as Pinecone, FAISS, Weaviate, or ChromaDB.
• Collaborate with engineering and business teams to deploy scalable AI solutions.
• Improve AI response quality, grounding, and hallucination reduction.
Qualifications:
Required:
• 7 years of software engineering or AI/ML experience.
• Strong hands-on experience with Generative AI and RAG implementations.
• Expertise with Python and AI frameworks such as LangChain or LlamaIndex.
• Experience with LLM APIs, embeddings, semantic search, and prompt engineering.
• Knowledge of vector databases and enterprise AI architecture.
• Experience with AWS, Azure, or GCP cloud platforms.
• Familiarity with APIs, Docker, Kubernetes, and MLOps/LLMOps practices.
Preferred:
• Experience with AI agents, fine-tuning, or Graph RAG.
• Knowledge of AI governance, security, and responsible AI.
• Experience building enterprise AI assistants or knowledge management solutions.
Company:
Ampcus is a global business, technology consulting and an staff augmentation firm specializing in AI/ML,digital solutions, Cybersecurity & Risk management, Testing, Forensics & Fraud services and human capital management. Founded in 2004, the company is headquartered in Chantilly, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Ampcus logo

About Ampcus

Sourced by ZipRecruiter

Ampcus Inc. is a ISO 20000, ISO 27000, ISO 9001, CMMI DEV/3 SM and CMMI SVC/3 SM certified global provider of a broad range of Technology and Business consulting services. From strategy to execution, our disciplined yet flexible approach starts and ends with our clients. By listening hard and working harder, client goals become our goals. Their success is our satisfaction. It’s why our clients sleep well at night. We believe that the success of an engagement is determined by strong project management, as well as clear communication and mutual commitment working collaboratively. Our methodology begins with listening to the customer about their needs, then working with their team to gain a clear understanding of the requirements, while providing knowledge transfer of best practices for the organization.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chantilly, VA, US

Year founded

2004