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Salaried Rag Jobs in Washington (NOW HIRING)

Ignite Digital

Mid AI/ML Engineer

Washington, DC · Hybrid

Build RAG architectures and high-performing inference systems. * Create scalable infrastructure to ... On client site with potential for hybrid telework Internal Salary Guidance: 115k+ to align with ...

Geico

Director, Machine Learning Engineering

Bethesda, MD · On-site

$150K - $300K/yr

Memory systems (short-term and long-term) * Retrieval systems (RAG, knowledge integration ... Data-Driven Decision Making Annual Salary $150,000.00 - $300,000.00 The above annual salary range ...

AIToolboard

Senior AI Engineer

Fort George G Meade, MD · On-site

$120 - $190/hr

... RAG) systems, and automated testing pipelines. • Develop and optimize data preprocessing ... BENEFITS: • Competitive salary • Company Medical/Dental/Vision plans - Company paid • Short ...

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Salaried Rag information

What is the difference between Salaried Rag vs Salaried Technician?

AspectSalaried RagSalaried Technician
Required CredentialsHigh school diploma or equivalent, specialized trainingHigh school diploma, technical certification or associate degree
Work EnvironmentOffice or field-based, depending on industryIndustrial, manufacturing, or technical settings
Employer & Industry UsageMedia, printing, or creative industriesManufacturing, maintenance, or technical services
Common Search & ComparisonYesYes

The comparison shows that Salaried Rag and Salaried Technician share similar credential requirements and are used in related industries. Salaried Rag typically refers to roles in media or creative fields, while Salaried Technician is common in technical and industrial sectors. Both roles involve specialized skills and are salaried positions, but their work environments and industry applications differ.

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The most popular types of Rag jobs in Washington are:

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

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Cities in Washington with the most Salaried Rag job openings:

Salaried Rag jobs near you

Mid AI/ML Engineer

Ignite Digital

Washington, DC • Hybrid

Full-time

Posted 23 days ago

Job description

Ignite Digital Services is hiring an AI/ML Engineer to independently contribute to developing and optimizing advanced AI/ML systems and components in support of a large federal enterprise multi-domain data ecosystem. You will operate with autonomy, apply creative solutions, and influence major technical deliverables, while delivering within a larger team project management environment. 

Key Responsibilities:  

  • Independently develop and optimize ML models, pipelines, and platform components. 
  • Build RAG architectures and high-performing inference systems.  
  • Create scalable infrastructure to support training, experimentation, and deployment.  
  • Lead integration of AI/ML models into production systems.  
  • Conduct advanced troubleshooting and performance tuning.  
  • Collaborate with stakeholders to accelerate mission-driven insights. 

Required Skills:  

  • Deep experience building LLM-based systems and RAG architectures.  
  • Strong proficiency in MLOps tools (e.g. MLFlow, Kubeflow, Airflow).  
  • Advanced scripting (e.g. Python, JavaScript, Rust).  
  • Expertise deploying models on AWS, Azure, or GCP.  
  • Ability to work independently with broad responsibilities. 

Desired Skills:  

  • Experience with scientific datasets or multi-domain research workflows.  
  • Familiarity with AWS Bedrock, Databricks, vector databases or comparable technologies.  
  • Strong foundation in prompt engineering or AI agents.
  • Experience working with federal clients. 

Clearance Requirements:  Secret or TS/SCI eligible 

Education & Experience:  

  • Bachelor's degree in CS, engineering, mathematics, or related field. 
  • 3+ years AI/ML professional experience. 
  • Intermediate certifications (CCSP, CFR, FITSP-M, GSEC, Security+, SSCP) or advanced certifications (SecurityX / CASP+, GCSA, GSLC, CISSP). 

Work Location: National Capital Region 

  • On client site with potential for hybrid telework 

Internal Salary Guidance: 115k+ to align with experience and education

Apply