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Rag Engineer Jobs in Reston, VA (NOW HIRING)

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

Build RAG architectures and high-performing inference systems. * Create scalable infrastructure to ... Strong foundation in prompt engineering or AI agents. * Experience working with federal clients.

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 ...

... RAG) architectures that improve response quality, accuracy, explainability, and contextual relevance. • Engineer and optimize prompt orchestration, agentic workflows, and inference pipelines for ...

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 ...

Showing results 21-40

Rag Engineer information

See Reston, VA salary details

$62K

$94.3K

$160K

How much do rag engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for rag engineer in Reston, VA is $94,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,400.00 and $109,400.00 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 Reston, VA? For Rag Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Rag Engineer jobs in Reston, VA look for? The top searched job categories for Rag Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Rag Engineer jobs? Cities near Reston, VA with the most Rag Engineer job openings:
Infographic showing various Rag Engineer job openings in Reston, VA as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $94,337 per year, or $45.4 per hour.

Full-time

Re-posted 8 days ago


Job description

BT-331 - Software Engineer - SME
Location: Chantilly, VA (fully on-site, no remote option)
**Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.**
KEY TASKS:
  • Participate in all Lean Agile scrums, sprints and grooming sessions.
  • Consult and coordinate appropriately for problem resolution, task scheduling, new resource requirements, and task clarification.
  • Work in partnership with an integrated team of staff and contractors.
  • Understand the cloud environments, such as AWS or Azure.
  • Coordinate and collaborate with security, operations, engineering, testing and other teams to provide system information and technical support.
  • Design, develop and modify software systems.
  • Document and track vendor software roadmaps for software and patch version updates.
  • Unit test their software and perform code.
  • Design and implement scalable search and retrieval systems leveraging Elasticsearch.
  • Develop and integrate LLM-powered capabilities, including Retrieval-Augmented Generation (RAG) pipelines.

REQUIRED SKILLS AND DEMONSTRATED EXPERIENCE:
  • Demonstrated experience working in Lean Agile Development environment.
  • Demonstrated experience building or integrating LLM-based solutions, including RAG, semantic search, or AI-assisted retrieval systems.
  • Demonstrated experience developing detailed design and associated deliverables.
  • Demonstrated experience translating customer and system requirements into design.
  • Demonstrated experience designing system interfaces.
  • Demonstrated experience developing Single Page Applications using React (modern hooks-based architecture), HTML5, and CSS3.
  • Demonstrated hands-on experience developing RESTful APIs using Node.js and Express (or comparable modern backend frameworks).
  • Demonstrated hands-on experience with and troubleshooting of Internet and Web related protocols and technologies such as Tomcat, Nodejs, Web Services, or SSL.
  • Demonstrated experience with testing platforms such as Jest or Karma.
  • Demonstrated hands-on experience working with DevOps tools such as Git, Jenkins, or Nexus.
  • Demonstrated hands-on experience with Elasticsearch (index design, querying, relevance tuning, and scaling).
  • Demonstrated experience designing or implementing data pipelines to support search and/or RAG workflows (e.g., ingestion, chunking, embeddings, vector search).

HIGHLY DESIRED SKILLS AND DEMONSTRATED EXPERIENCE:
  • Demonstrated recent experience with the client's Lean Agile methodology.
  • Experience evaluating, selecting, and integrating LLMs (e.g., OpenAI, open-source models) into enterprise applications.
  • Experience with vector databases, hybrid search (keyword + semantic), and relevance optimization.
  • Ability to lead or mentor teams in adopting search + AI/LLM best practices (strong preference for candidates who can elevate team capability, not just contribute individually).