1

Salaried Rag Jobs in Virginia (NOW HIRING)

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

Understanding of LLM behavior, prompt evaluation, retrieval pipelines, or RAG architectures ... Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn ...

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

Understanding of LLM behavior, prompt evaluation, retrieval pipelines, or RAG architectures ... Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn ...

Implement advanced Retrieval-Augmented Generation (RAG) solutions, utilizing layout-aware parsing ... In addition to employee salary, we offer an array of employee benefits including: • Paid vacation ...

New

Develop AI-enabled applications using large language models and retrieval-augmented generation (RAG ... salary. Additional factors considered in extending an offer include (but are not limited to ...

Agentic AI Developer

Chantilly, VA · On-site

$69K - $125K/yr

... RAG) architectures. • Integrate AI agents with APIs, databases, enterprise systems, and external ... salary. Additional factors considered in extending an offer include (but are not limited to ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Experience architecting data stores and schemas for AI workflows (e.g., RAG) * Active Google Cloud ... Competitive salary and benefits package * Hybrid work environment (MWF in-person in our Reston ...

Data Engineer

Reston, VA

$119K - $143K/yr

Experience architecting data stores and schemas for AI workflows (e.g., RAG) * Active Google Cloud ... Competitive salary and benefits package * Hybrid work environment (MWF in-person in our Reston ...

Experience implementing RAG architectures, embeddings, vector stores, and context retrieval ... Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn ...

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Experience implementing RAG architectures, embeddings, vector stores, and context retrieval ... Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn ...

Prompt Engineer

Mclean, VA · On-site

$115K - $140K/yr

Partner with developers to implement prompt engineering techniques within RAG pipelines, agentic ... Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn ...

Develop AI-enabled features using LLMs, retrieval-augmented generation (RAG), tool-use agents, and ... Individual salaries are determined by various factors including, but not limited to location ...

Experience implementing RAG architectures, embeddings, vector stores, and context retrieval ... Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn ...

Software Engineer

Chantilly, VA · On-site

$130K - $260K/yr

Our competitive salary ranges and industry‑leading benefits are designed to support long‑term ... Building or integrating LLM-based solutions including RAG, semantic search or AI-assisted retrieval ...

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Experience implementing RAG architectures, embeddings, vector stores, and context retrieval ... Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn ...

Develop AI-enabled features using LLMs, retrieval-augmented generation (RAG), tool-use agents, and ... Individual salaries are determined by various factors including, but not limited to location ...

Showing results 41-60

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.

What are the most commonly searched types of Rag jobs in Virginia? The most popular types of Rag jobs in Virginia are:
What are popular job titles related to Salaried Rag jobs in Virginia? For Salaried Rag jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Salaried Rag jobs in Virginia look for? The top searched job categories for Salaried Rag jobs in Virginia are:
What cities in Virginia are hiring for Salaried Rag jobs? Cities in Virginia with the most Salaried Rag job openings:

AI Evaluation Scientist

Steampunk

Mclean, VA • On-site

$105K - $145K/yr

Other

Re-posted 23 days ago


Job description

Overview

We are looking for an AI Evaluation Scientist to design and execute evaluation processes that ensure our predictive and generative AI systems are accurate, reliable, safe, and aligned with mission requirements. This role is essential for establishing trust in AI solutions and supporting continuous improvement across the AI lifecycle. The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts, and product teams to develop evaluation metrics, build test harnesses, analyze model behavior, and support responsible deployment. 

Contributions

Responsibilities include: 

  • Implement evaluation frameworks for AI models, including accuracy, robustness, relevance, bias, hallucination rate, and safety metrics.
  • Build and maintain automated evaluation scripts, tests, and pipelines that assess AI model outputs and detect performance drift over time.
  • Develop benchmark datasets, challenge sets, and scenario-based test cases tailored to mission and user needs.
  • Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
  • Collaborate with AI Developers, LLMOps Engineers, and Data Scientists to support iterative experimentation, model hardening, and quality improvements.
  • Contribute to the design of human-in-the-loop evaluation workflows, integrating qualitative and quantitative insight into evaluation reports.
  • Assist in mapping evaluation outcomes to responsible AI principles such as fairness, transparency, reliability, and safety.
  • Partner with AI Governance Analysts to ensure evaluation outputs support compliance, documentation, and risk assessments.
  • Stay current with emerging evaluation tools, frameworks, metrics, and research related to LLM assessment and generative AI reliability.
  • Document evaluation processes, criteria, and results for both technical and non-technical audiences.
  • You will contribute to the growth of our AI & Data Exploitation Practice! 
Qualifications
  • Ability to hold a position of public trust with the U.S. government.
  • Bachelor's or Master's degree in Computer Science, Statistics, Machine Learning, Cognitive Science, Human-Computer Interaction, Data Science, or a related field.
  • 2+ years of experience evaluating machine learning models, NLP systems, or generative AI models (LLMs preferred).
  • Familiarity with evaluation metrics, statistical testing, dataset creation, and experimental design for AI systems.
  • Proficiency in Python and relevant libraries such as PyTorch, Hugging Face, scikit-learn, LangChain.
  • Proficiency in AI evaluation frameworks such as Ragas.
  • Experience analyzing structured and unstructured data, including text, documents, and embeddings.
  • Understanding of LLM behavior, prompt evaluation, retrieval pipelines, or RAG architectures.
  • Exposure to responsible AI concepts and governance-aligned evaluation criteria (e.g., fairness, transparency, reliability).
  • Strong analytical skills with the ability to interpret model weaknesses, extract insights, and recommend actionable improvements.
  • Excellent written and verbal communication skills, with the ability to present evaluation findings clearly to technical and non-technical stakeholders.
  • Experience working in agile or iterative development environments is a plus.
  • Familiarity with OWASP LLM Top 10 Risks.
  • Relevant certifications (helpful but not required): 
    • NIST AI RMF (AISIC)
    • INFORMS CAP
    • AWS/Azure/Google ML Certifications
About steampunk

Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $105,000 to $145,000.  The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here. 

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors.  Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges.  As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.

Employment Type: OTHER