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Remote Retrieval Augmented Generation Jobs in Virginia

Apply Retrieval-Augmented Generation (RAG) patterns to enhance LLM-driven applications with accurate, relevant, and contextual enterprise data. * Consult with customers to understand business ...

Apply Retrieval-Augmented Generation (RAG) patterns to enhance LLM-driven applications with accurate, relevant, and contextual enterprise data. * Consult with customers to understand business ...

AI Engineer - ICAM

Falls Church, VA ยท Remote

$122K - $146K/yr

... Models (LLMs), Retrieval Augmented Generation (RAG), and intelligent assistants to improve ... Remote Work Location: USA VA Falls Church Additional Work Locations: Any Location / Remote Total ...

AI and Data Science Engineer III

Richmond, VA ยท On-site +1

$113K - $136K/yr

Implement retrieval-augmented generation patterns, including document ingestion, chunking, embeddings, vector or hybrid search, and retrieval and evaluation telemetry * Deliver governed datasets and ...

AI and Data Science Engineer III

Mclean, VA ยท On-site +1

$115K - $139K/yr

Implement retrieval-augmented generation patterns, including document ingestion, chunking, embeddings, vector or hybrid search, and retrieval and evaluation telemetry * Deliver governed datasets and ...

Data Scientist (Generative AI)

Mclean, VA ยท 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 ...

Data Scientist (Generative AI)

Mclean, VA ยท 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 ...

AI Engineer

Leesburg, VA ยท 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 ...

Data Architect

Leesburg, VA ยท 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 ...

AI/ML Solutions Architect

Fairfax, VA ยท On-site +1

$180K - $220K/yr

Hybrid - 3 days onsite/2 remote POSITION TIMING: ASAP; hiring immediately BENEFITS: Health, Dental ... Build and implement Retrieval-Augmented Generation (RAG) pipelines and AI-powered applications

Senior Software Engineer

Reston, VA ยท On-site +1

$127K - $168K/yr

Vienna, VA with remote flexibility Responsibilities: * Bridging the gap between complex business ... Experience developing and optimizing retrieval-augmented generation (RAG) pipelines using managed ...

ServiceNow Practice Lead

Leesburg, VA ยท 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 ...

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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:
Sr. Data Scientist with Security Clearance

Sr. Data Scientist with Security Clearance

ECS

Hampton, VA โ€ข Remote

$180K - $200K/yr

Other

Posted 12 days ago


Job description

Job Description Everforth ECS is seeking a Sr. Data Scientist to join our team remotely This position is contingent upon contract award. Are you passionate about building intelligent search and retrieval systems and applying GenAI to solve real-world data challenges?

Join ECS, a leading provider of cloud, AI, data, and enterprise transformation solutions. In this role, you will design and optimize next-generation search and retrieval experiences using Elasticsearch, Vector Search, and Retrieval-Augmented Generation (RAG) techniques to improve relevance, accuracy, and decision-making outcomes. We are seeking a Sr.

Data Scientist focused on Search, RAG, and GenAI to support ECS's Professional Services. The ideal candidate enjoys working at the intersection of data science, search relevance, and large language models (LLMs), collaborating with customers and internal teams to deliver intelligent, high-impact solutions. You will play a key role in shaping search architectures, advising on best practices, and applying advanced AI techniques to enterprise-scale data sets.

This role offers the opportunity to work with cutting-edge GenAI technologies while directly influencing customer success across diverse environments and use cases. Key Responsibilities * Design, implement, and optimize intelligent search solutions using Elasticsearch, including lexical, semantic, and vector-based search techniques. * Apply Retrieval-Augmented Generation (RAG) patterns to enhance LLM-driven applications with accurate, relevant, and contextual enterprise data.

* Consult with customers to understand business objectives, data landscapes, and search challenges, translating requirements into effective AI-powered search strategies. * Build and refine embedding strategies, indexing approaches, and query workflows to improve relevance, precision, and recall. * Evaluate and integrate LLMs and GenAI capabilities into enterprise search and analytics use cases.

* Collaborate with data, AI, and platform teams to align GenAI solutions with existing systems and operational workflows. * Provide strategic recommendations to improve search performance, result explainability, and overall user experience. * Lead knowledge-sharing sessions, technical workshops, and enablement activities related to GenAI, RAG, and advanced search techniques.

* Serve as a trusted advisor for customers and internal stakeholders on emerging trends in AI-powered search and retrieval. * Stay current with advancements in Elasticsearch, GenAI, LLM tooling, and search relevance methodologies. Salary Range: $180,000 - $200,000 Required Skills * Hands-on experience applying Elasticsearch to search, analytics, or data science use cases.

* Strong understanding of search concepts including relevance tuning, indexing strategies, and query optimization. * Experience working with data science or AI-driven solutions in enterprise environments. * Familiarity with large-scale data platforms and cloud environments (AWS, Azure, or GCP).

* Ability to translate complex technical concepts into clear guidance for customers and stakeholders. * Strong analytical, problem-solving, and communication skills. * Willingness and ability to travel to customer sites as needed.

* Must be a U.S. Citizen and have an active TS/SCI U.S. Security Clearance.

* Bachelor's degree in Computer Science, Data Science, or a related field (or equivalent experience). Desired Skills * Master's degree or PhD in Computer Science, Data Science, or a related field. * Experience with Vector, Semantic, and Lexical Search techniques.

* Hands-on experience designing or implementing Retrieval-Augmented Generation (RAG) solutions. * Familiarity with RAG evaluation concepts and frameworks (RAGAS, faithfulness, context precision, etc.) * Experience working with LLMs and GenAI frameworks and tooling. * Familiarity with AgentAI Builder or agent-based AI architectures.

* Experience applying GenAI to enterprise search, observability, or security data. * Elastic Certified Engineer or related Elastic certifications. * Experience with Elasticsearch Enterprise Search use cases.

* Familiarity with complementary search technologies (OpenSearch, Solr, Lucene). * Understanding of cybersecurity, observability, or operational data domains. * Experience working in consulting, professional services, or managed service environments.

* Strong collaboration skills with the ability to mentor and guide team members. * Exposure to Agile or project-based delivery models. ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law.

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law. is the federal segment of , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.

Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow. We value: * Attracting and developing top talent and high-performing teams * Fostering a culture that is engaging, accountable, and mission-driven Meet the challenge.

Make a difference with Everforth ECS!