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Ai Rag Jobs in Virginia (NOW HIRING)

Steampunk

Senior AI Developer

Mclean, VA · On-site

$55 - $72.75/hr

Overview We are seeking a dynamic, forward-thinking Senior AI Software Engineer (GenAI, Agents & RAG) to assist in the design and implementation of enterprise-wide AI-powered tools, workflows, and ...

Steampunk

Senior AI Developer

Mclean, VA · Hybrid

$55 - $72.75/hr

Overview We are seeking a dynamic, forward-thinking Senior AI Software Engineer (GenAI, Agents & RAG) to assist in the design and implementation of enterprise-wide AI-powered tools, workflows, and ...

Mind Ware Inc

AI/ML Engineer

Reston, VA · On-site

Experience with Generative AI technologies such as LLMs , LangChain , RAG (Retrieval-Augmented Generation) , and AI Agents. * Experience with TensorFlow , PyTorch , or Scikit-learn . * Strong ...

INSPYR Solutions

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 ...

steampunk

AI Developer with Security Clearance

Fairfax, VA · On-site

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi-agent workflows, RAG pipelines, and specialized AI microservices. * Implement reusable AI components ...

INSPYR Solutions

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 ...

Amivero

AI Engineer

Reston, VA · On-site

... RAG) architectures that improve response quality, accuracy, explainability, and contextual ... AI services using containers, serverless, and modern DevOps/MLOps practices. • Optimize ...

LMI

Enterprise AI Lead

Tysons, VA · On-site

This includes everything from LLM platforms and agent orchestration to MLOps, RAG pipelines, and AI-enabled applications. This role is ideal for someone with a platform engineering or infrastructure ...

LMI

Enterprise AI Lead

Tysons, VA

This includes everything from LLM platforms and agent orchestration to MLOps, RAG pipelines, and AI-enabled applications. This role is ideal for someone with a platform engineering or infrastructure ...

LMI

Enterprise AI Lead

Tysons, VA · On-site

This includes everything from LLM platforms and agent orchestration to MLOps, RAG pipelines, and AI-enabled applications. This role is ideal for someone with a platform engineering or infrastructure ...

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Ai Rag information

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What are popular job titles related to Ai Rag jobs in Virginia? For Ai Rag jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Virginia look for? The top searched job categories for Ai Rag jobs in Virginia are:
What cities in Virginia are hiring for Ai Rag jobs? Cities in Virginia with the most Ai Rag job openings:
Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Virginia as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Senior AI Developer

Steampunk

Mclean, VA • On-site

$55 - $72.75/hr

Other

Re-posted 22 days ago

Job description

Overview
We are seeking a dynamic, forward-thinking Senior AI Software Engineer (GenAI, Agents & RAG) to assist in the design and implementation of enterprise-wide AI-powered tools, workflows, and practices across both internal operations and client delivery teams. This candidate will partner with our internal AI Lab, delivery teams, and back-office functions including Finance, HR, Recruiting, and BD to identify high-impact AI use cases, select or build fit-for-purpose tools, and train teams on their use to drive measurable gains in efficiency, quality, and innovation.
The ideal candidate brings hands-on knowledge of today's AI tools and platforms, including GenAI, MLOps, RAG, AutoML, LLMOps, and orchestration frameworks, and combines that technical acumen with a change agent's mindset-capable of translating potential into real-world outcomes across diverse functions like software development, CI/CD infrastructure, HCD workshop synthesis, data engineering, AI/ML development, and business operations.
Contributions
  • You'll be helping transform a fast-moving technology company with deep federal roots, a collaborative culture, and a commitment to innovation. Our AI Lab, AI and Data Exploitation team, and HCD experts are ready to work with you.
  • You'll help serve as a bridge, ensuring cutting-edge AI capabilities are used not just by technologists, but by every part of the enterprise.Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi-agent workflows, RAG pipelines, and specialized AI microservices.
  • Implement reusable AI components, libraries, and APIs that streamline application development and accelerate delivery across programs.
  • Integrate AI models with enterprise systems, APIs, data platforms, vector databases, and cloud-native services to deliver scalable mission capabilities.
  • Drive iterative experimentation, prototyping, and model improvement cycles in collaboration with Data Scientists and AI Evaluation Scientists.
  • Design and implement advanced prompt strategies, context management layers, retrieval systems, and LLM orchestration logic.
  • Build scalable inference services, optimize model performance, and collaborate with LLMOps to enable robust deployment, monitoring, and continuous improvement.
  • Translate user needs and mission workflows into intuitive, reliable AI-powered features through active partnership with designers and product teams.
  • Implement secure-by-design and trustworthy AI practices, including safety guardrails, input sanitization, content filtering, and integration of evaluation metrics.
  • Contribute to internal AI frameworks, code patterns, and shared accelerators that raise delivery quality across the AI & Data Exploitation Practice.
  • Participate in code reviews and support engineering excellence across multi-disciplinary AI delivery teams.
  • Stay current with emerging AI techniques, libraries, foundation models, and agent frameworks, evaluating their applicability to client missions.
  • You will contribute to the growth of our AI & Data Exploitation Practice!

Qualifications
  • Must be local to DC Metro Area, 2-3 days/week in McLean Office.
  • Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field.
  • 5+ years of hands-on software engineering experience, with some exposure to AI/ML, generative AI, or LLM-driven application development.
  • Experience in Python and modern AI frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, or similar.
  • Demonstrated ability to design and develop production-grade AI applications, including APIs, back-end services, orchestration logic, and front-end integrations (when needed).
  • Experience implementing RAG architectures, embeddings, vector stores, and context retrieval patterns.
  • Familiarity with multi-agent orchestration frameworks, prompt engineering strategies, and advanced LLM interaction design.
  • Strong understanding of cloud platforms (AWS, Azure, GCP), including compute, serverless services, and security fundamentals for AI workloads.
  • Working knowledge of containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for AI-based systems.
  • Experience with structured and unstructured data, document processing, and application integration with existing enterprise systems.
  • Understanding of responsible AI principles including safety, fairness, privacy, and model risk mitigation.
  • Strong analytical and communication skills with the ability to collaborate across engineering, design, and mission domains.
  • A collaborative mindset and a commitment to raising the technical quality of development work.
  • Ability to hold a position of public trust with the U.S. government.

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 $140,000 to $180,000. 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.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.

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