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Rag Engineer Jobs in Washington (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 ...

Ampcus Inc

Generative AI Engineer

Chantilly, VA · On-site

We are seeking a highly skilled MCP (Model Context Protocol), RAG (Retrieval-Augmented Generation), and Connectors Engineer to design, build, and optimize AI-powered solutions that integrate ...

New

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

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Showing results 1-20

All JobsRag Engineer JobsRag Engineer Jobs in Washington

Rag Engineer information

See Washington salary details

$67.4K

$102.5K

$173.9K

How much do rag engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for rag engineer in Washington is $102,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,600.00 and $118,900.00 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 Washington?

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

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

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

What cities in Washington are hiring for Rag Engineer jobs?

Cities in Washington with the most Rag Engineer job openings:

Rag Engineer jobs near you
Infographic showing various Rag Engineer job openings in Washington as of September 2026, with employment types broken down into 1% Internship, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $102,513 per year, or $49.3 per hour.

Senior AI Engineer - Generative AI / RAG

Chantilly, VA • On-site

Ampcus Inc
IT Services • 1 - 5K employees
Learn more about Ampcus Incexternal

$57 - $73.75/hr

Full-time

Re-posted 26 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.
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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

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