ZipRecruiter

Log In

1

Rag Engineer Jobs in Virginia (NOW HIRING)

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates ... Experience architecting data stores and schemas for AI workflows (e.g., RAG) * Active Google Cloud ...

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates ... Experience architecting data stores and schemas for AI workflows (e.g., RAG) * Active Google Cloud ...

CACI International, Inc.

AI Prompt Engineer

Ashburn, VA · On-site

Engineering Time Type: Full time Minimum Clearance Required to Start: None Employee Type: Regular ... Fine-tuning & RAG Support: Provide input and collaborate on strategies for model fine-tuning and ...

SZNS Solutions LLC

Data Engineer

Reston, VA

$119K - $143K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates ... Experience architecting data stores and schemas for AI workflows (e.g., RAG) * Active Google Cloud ...

Ekcel Technologies Inc

AI engineer

Reston, VA · On-site

The AI Engineer will work closely with data scientists, software engineers, business stakeholders ... Build Retrieval-Augmented Generation (RAG) solutions using vector databases. Design cloud-native AI ...

CDIT LLC

AI Engineer

Norfolk, VA · On-site

... LLM-based RAG pipelines) against Navy maintenance, supply, and equipment-history datasets. • ... engineering, training, evaluation, deployment, and monitoring - using Python and modern ML ...

Hexaware Technologies, Inc

AI Engineer

Reston, VA · On-site

The AI Engineer will work closely with data scientists, software engineers, business stakeholders ... Build Retrieval-Augmented Generation (RAG) solutions using vector databases. * Design cloud-native ...

TSC

Senior AI Engineer

Dahlgren, VA · On-site

$106K - $146K/yr

... RAG architectures, and agentic workflows that leverage knowledge graph representations. • Collaborate with engineers, systems architects, and mission-domain SMEs to translate operational ...

BRMi

AI Quality Engineer

Vienna, VA · On-site

$72K - $93K/yr

Validate AI-powered applications, AI agents, and Retrieval-Augmented Generation (RAG) solutions ... Partner with engineering teams to resolve quality, security, and performance issues. * Create ...

Nastech Global

Senior AI/ML/Python Engineer

Reston, VA · On-site

Contract Top Skills Details 7-10 years of experience working as a Python/ML Engineer with strong Python, SQL, and AWS LLMs - RAG, AWS Bedrock, standard AWS services Experience: * 8+ years overall in ...

Ardent Principles, Inc

Software Engineer

Chantilly, VA · On-site

Building or integrating LLM-based solutions including RAG, semantic search or AI-assisted retrieval ... Handson experience working with DevOps tools such as Git, Jenkins, or Nexus. * Handson experience ...

previous page

Showing results 41-60

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 Aug 9, 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 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 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.

Data Engineer

SZNS Solutions LLC

Reston, VA • On-site

$119K - $143K/yr

Full-time

Re-posted 24 days ago

Job description

"SZNS Solutions (pronounced "seasons") is a technology consulting company and Google Cloud Partner based in Reston VA. We specialize in delivering agentic AI and cloud computing solutions. Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates itself particularly in AI, data engineering, blockchain, and cloud-native software application development."
Role Summary
The Data Engineer is the bedrock of intelligence operations, responsible for turning raw, unstructured data into actionable intelligence. You will embed directly with clients to build the data pipelines that power AI workflows. We build systems that don't just move data, but do it with the speed and reliability required for live and automated intelligence. Ultimately, you'll create the foundations that will influence key strategic decisions for us and our customers.
Key Responsibilities
  • ETL/ELT Pipelines: Architect and deploy pipelines to ingest, transform, and store data from high volume, disparate sources for real-time analysis
  • Build for the Enterprise: Create a highly reliable single source of truth for enterprise intelligence and enablement
  • AI Workflow Enablement: Architect and optimize production-grade data foundations to support high-performance AI workflows and automated decision-making.
  • Operations & Governance: Establish and automate strict data security, quality assurance, and governance processes. Design systems for high fault tolerance and rapid disaster recovery
  • Efficiency: Design and model for efficient queries, resource usage, workload scheduling, and cost

Requirements
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
  • 5+ years of experience in data engineering, within a cloud environment, demonstrating a clear progression from engineering into architectural design
  • Proficiency in SQL and strong programming skills in Python, Rust, or Java
  • Experience building and maintaining data pipelines using processing/streaming frameworks (e.g., Kafka, Flink, Beam, Spark) and orchestration tools (e.g., Airflow)
  • Experience architecting data stores and schemas for AI workflows (e.g., RAG)
  • Active Google Cloud certifications, or willingness to obtain within one month of joining
  • Builder mentality and bias for action
  • US Citizen
Preferred Qualifications
  • Deep expertise in the Google Cloud Platform (GCP) ecosystem, specifically building streaming and batch pipelines using Dataflow (Apache Beam), Pub/Sub, BigQuery, and Cloud Composer (Airflow)
  • Strong background in data modeling and architecture across relational (e.g., PostgreSQL), NoSQL (e.g., Firestore, MongoDB), and graph databases (e.g., Neo4j), including modern cloud data warehouses (e.g., BigQuery) and data lakes (e.g., GCS, Dataproc)
  • Demonstrated experience setting up infrastructure for modern data science, machine learning, or Generative AI (e.g., preparing unstructured data, vector databases, RAG pipelines)
  • Familiarity with regulatory compliance frameworks (FedRAMP, HIPAA, etc.) and security strategies
  • Experience with modern data platforms like Snowflake or Databricks

Benefits
  • Competitive salary and benefits package
  • Hybrid work environment (MWF in-person in our Reston office)
  • A collaborative and innovative work environment
  • Continuous learning and development opportunities

Apply