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Remote Retrieval Augmented Generation Jobs in Virginia

Ignite IT

Jr. AI Prompt Engineer

Ashburn, VA · On-site +1

Identify opportunities for advanced AI capabilities, automation, Retrieval-Augmented Generation (RAG), and agentic AI solutions and coordinate with technical teams as needed. Requirements * U.S.

Steampunk

Data Scientist (Generative AI)

Mclean, VA · On-site +1

$125K - $160K/yr

Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG). * Design experiments to evaluate generative model behavior (e.g ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA · On-site +1

$125K - $160K/yr

Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG). * Design experiments to evaluate generative model behavior (e.g ...

Anika Systems

AI Engineer

Leesburg, VA · On-site +1

This position is currently remote; however, in accordance with federal contract requirements and ... Experience designing agentic systems: multi-step workflows, retrieval-augmented generation ...

Anika Systems

Data Architect

Leesburg, VA · On-site +1

$64.50 - $83/hr

This opportunity is 100% remote. Key Responsibilities Enterprise Data Architecture & Engineering ... retrieval-augmented generation (RAG) patterns. * Develop and maintain conceptual, logical, and ...

Axiom Path

Lead AI Engineer #3624294

Richmond, VA · On-site +1

$180K - $200K/yr

This is a full-time opportunity available to candidates in Richmond, VA on a hybrid basis or remote ... Develop LLM-powered applications, prompt engineering strategies, retrieval-augmented generation ...

Anika Systems

ServiceNow Practice Lead

Leesburg, VA · On-site +1

$16.75 - $19.50/hr

This position is partially remote but will require regular client meetings in the DC Metro area ... Retrieval-Augmented Generation (RAG) frameworks * Prompt engineering strategies * Agentic workflows ...

ID.me

AI Enablement Engineer, IT

Mclean, VA · On-site +1

Certain roles -- such as field-based sales or other remote-by-design positions -- may have ... retrieval-augmented generation (RAG), and tool / function-calling that automate real business ...

ID.me

AI Enablement Engineer, IT

Mclean, VA · On-site +1

Certain roles -- such as field-based sales or other remote-by-design positions -- may have ... retrieval-augmented generation (RAG), and tool / function-calling that automate real business ...

ID.me

AI Enablement Engineer, IT

Mclean, VA · On-site +1

Certain roles -- such as field-based sales or other remote-by-design positions -- may have ... retrieval-augmented generation (RAG), and tool / function-calling that automate real business ...

Leidos

Software Engineer

Reston, VA · On-site +1

... models (LLMs), retrieval-augmented generation (RAG), and agentic workflows into production ... Flexible to work remote with the ability to commute to the corporate office as needed Must have ...

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Remote Retrieval Augmented Generation information

What are the key skills and qualifications needed to thrive as a Remote Retrieval Augmented Generation Engineer, and why are they important?

To thrive as a Remote Retrieval Augmented Generation (RAG) Engineer, you need a strong background in machine learning, natural language processing, and information retrieval, often backed by a degree in computer science or a related field. Familiarity with tools and frameworks like PyTorch, TensorFlow, Hugging Face Transformers, and experience with retrieval systems such as Elasticsearch or FAISS are typically required. Problem-solving, effective communication, and adaptability are important soft skills for collaborating remotely and iterating on rapidly evolving AI solutions. These skills ensure the engineer can design, deploy, and optimize robust RAG systems that effectively combine retrieval and generation for high-quality AI outputs.

What is the difference between Remote Retrieval Augmented Generation vs Remote Data Scientist?

AspectRemote Retrieval Augmented GenerationRemote Data Scientist
CredentialsAI/ML knowledge, programming skillsStatistics, programming, domain expertise
Work EnvironmentAI development, NLP projectsData analysis, model building
Industry UsageAI, NLP, machine learningTech, finance, healthcare
Search & ComparisonOften compared for AI roles involving language modelsCompared for data analysis roles

Remote Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with language generation, requiring expertise in AI, NLP, and programming. Remote Data Scientists analyze data, build models, and interpret results, often with statistical and domain knowledge. While both roles may work remotely and involve data handling, Retrieval Augmented Generation emphasizes AI model development, whereas Data Scientists focus on data analysis and insights.

What are some common challenges faced by professionals working in Remote Retrieval Augmented Generation roles, and how can they be addressed?

Professionals in Remote Retrieval Augmented Generation (RAG) roles often encounter challenges related to integrating diverse data sources, ensuring low latency in information retrieval, and maintaining the quality and relevance of augmented outputs. Coordinating effectively with distributed teams and adapting to rapidly evolving AI technologies are also common hurdles. To address these, staying current with best practices in data engineering, leveraging robust APIs, and participating in regular team check-ins can help ensure smooth collaboration and system performance.

What is Remote Retrieval Augmented Generation?

Remote Retrieval Augmented Generation (RAG) is an advanced AI technique that combines large language models with external information sources. In a remote RAG setup, the model retrieves relevant data from remote databases or APIs during the generation process, enhancing its responses with up-to-date or domain-specific knowledge. This approach is widely used in applications that require accurate, context-aware answers, such as chatbots, search engines, and virtual assistants. By leveraging remote retrieval, RAG systems can access a broader range of information without needing to store all data locally.
What are the most commonly searched types of Retrieval Augmented Generation jobs in Virginia? The most popular types of Retrieval Augmented Generation jobs in Virginia are:
What are popular job titles related to Remote Retrieval Augmented Generation jobs in Virginia? For Remote Retrieval Augmented Generation jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Retrieval Augmented Generation jobs in Virginia look for? The top searched job categories for Remote Retrieval Augmented Generation jobs in Virginia are:
What cities in Virginia are hiring for Remote Retrieval Augmented Generation jobs? Cities in Virginia with the most Remote Retrieval Augmented Generation job openings:
Remote Retrieval Augmented Generation jobs near you
Jr. AI Prompt Engineer

Jr. AI Prompt Engineer

Ignite IT

Ashburn, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

Ignite IT is seeking a Junior AI Prompt Engineer to support U.S. Customs and Border Protection (CBP). In this role, you will work directly with stakeholders to identify opportunities for AI adoption, develop and refine prompts, design AI-enabled workflows, and support the implementation of AI solutions that improve mission and business operations.
The ideal candidate is passionate about artificial intelligence, enjoys solving complex problems, and can translate business needs into practical AI-enabled solutions. Candidates may come from backgrounds such as workflow automation, business analysis, software development, process improvement, technical consulting, or AI implementation.
This role focuses on helping users adopt and apply AI technologies.
Responsibilities
  • Work with stakeholders to understand business processes, gather requirements, identify operational pain points, and evaluate opportunities for AI adoption.
  • Design, test, refine, and document reusable prompts and prompt workflows for approved large language model platforms.
  • Develop and support AI-enabled workflows that improve operational efficiency and automate manual processes.
  • Support demonstrations, training sessions, and user adoption activities that help stakeholders effectively leverage AI capabilities.
  • Use approved AI platforms to assist stakeholders with research, summarization, reporting, analysis, and development of decision-support content.
  • Evaluate and validate AI-generated outputs to ensure accuracy, reliability, and alignment with mission requirements.
  • Research emerging AI capabilities and identify practical use cases that support mission objectives.
  • Support rapid prototyping, testing, implementation, and continuous improvement of AI solutions.
  • Document AI use cases, workflows, findings, lessons learned, and recommendations.
  • Collaborate with technical teams to support deployment and integration efforts.
  • Identify opportunities for advanced AI capabilities, automation, Retrieval-Augmented Generation (RAG), and agentic AI solutions and coordinate with technical teams as needed.

Requirements
  • U.S. Citizenship.
  • Bachelor's degree or equivalent combination of education and experience.
  • Experience applying AI tools to solve business, operational, academic, or technical problems.
  • Experience designing, testing, or refining prompts for generative AI platforms.
  • Strong analytical and problem-solving skills.
  • Ability to gather requirements and translate business needs into practical solutions.
  • Strong written and verbal communication skills.
  • Ability to communicate effectively with both technical and non-technical audiences.
  • Ability to work independently and collaboratively in a team environment.

Preferred Qualifications
  • Experience with workflow automation tools such as n8n, Make.com, Zapier, LangFlow, or similar platforms.
  • Familiarity with Retrieval-Augmented Generation (RAG) concepts.
  • Experience with AI agents, chatbots, or conversational AI solutions.
  • Exposure to APIs, scripting, software development, or low-code/no-code platforms.
  • Experience identifying, documenting, or improving business processes.
  • Experience supporting AI adoption, user training, or technology implementation efforts.
  • Experience working in a federal government environment.
  • Familiarity with prompt evaluation, output validation, and responsible AI practices.

Benefits
  • 401(k) with matching and 100% Vested
  • Health Insurance - 3 plans to select from
  • Dental insurance
  • Vision Insurance
  • Health savings account
  • Life insurance
  • Short Term Disability
  • Long Term Disability
  • AD&D
  • Paid time off
  • Professional development assistance
  • Training
  • Tuition reimbursement
  • Flexible schedule
  • Flexible spending account
  • Referral program
  • Paid Legal Plan
  • and more....

Ignite IT is an Equal Employment Opportunity/Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, Veteran status, sexual orientation, or other protected characteristic. In accordance with EO 13665 Final Rule, Ignite IT will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.
Applicants selected may be required to possess and maintain a government clearance
US CITIZENSHIP REQUIRED

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