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Language Model Jobs in Virginia (NOW HIRING)

Bridge Core (BCore)

Full-Stack Software Engineer

Reston, VA · Hybrid

$165K - $195K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Integrating and operating on-device AI/ML components, including local open-weight language models, retrieval-augmented generation, a vector store and embeddings, speech transcription, and multimodal ...

Bridge Core (BCore)

Full-Stack Software Engineer

Reston, VA · Hybrid

$165K - $195K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Integrating and operating on-device AI/ML components, including local open-weight language models, retrieval-augmented generation, a vector store and embeddings, speech transcription, and multimodal ...

Alpha Consulting Corp.

Gen AI Architect

Mclean, VA · On-site

$63.75 - $84/hr

This role requires expertise in large language models and cloud deployments, and it is fully onsite in McLean, VA. Responsibilities : • Create overarching solution architecture. • Define the ...

Twenty Technologies, Inc

Applied AI Engineer

Arlington, VA · On-site

$159K - $263K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Role Summary You'll build and ship language-model-powered systems that strengthen Twenty's mission-critical cyber capabilities for U.S. national security. You'll own the end-to-end workflow-from ...

Capital One

Applied Researcher I

Mclean, VA · On-site

Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning ...

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Showing results 41-60

All JobsLanguage Model JobsLanguage Model Jobs in Virginia

Language Model information

What is a language model?

Language models are artificial intelligence systems designed to understand, generate, and manipulate human language. They are trained on vast amounts of text data to predict the next word in a sequence, answer questions, write content, translate languages, and perform other language-related tasks. Modern language models, such as those based on deep learning, have revolutionized natural language processing by enabling more accurate and context-aware interactions between humans and machines.

What is the difference between Language Model vs Data Scientist?

AspectLanguage ModelData Scientist
Required CredentialsNone specific; knowledge of NLP and AI concepts helpfulBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentAI development teams, research labs, tech companiesBusiness, finance, healthcare, and various industries
Employer & Industry UsageUsed in AI applications, chatbots, content generationAnalyzing data, building models, providing insights

While both roles involve working with data and AI, a Language Model is an AI system designed to understand and generate human language, often developed by AI engineers. A Data Scientist analyzes data to extract insights and build predictive models, often utilizing language models as tools. Understanding the differences helps clarify career paths and job expectations in the AI and data fields.

What are the key skills and qualifications needed to thrive as a language model, and why are they important?

To thrive as a Language Model Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree. Experience with frameworks like TensorFlow or PyTorch, and familiarity with large-scale data processing tools, are typically required. Strong analytical thinking, collaboration, and problem-solving skills help in designing effective models and working with cross-functional teams. These capabilities are crucial for developing performant and accurate language models that meet complex real-world communication needs.

What are the common challenges faced by professionals working on language model development teams?

Professionals developing language models often encounter challenges such as managing large datasets, addressing biases in training data, and optimizing model performance while balancing computational resources. Collaboration with cross-functional teams—including data scientists, engineers, and domain experts—is essential to ensure the model's accuracy and relevance. Additionally, staying current with rapid advancements in AI research and maintaining responsible AI practices are crucial aspects of the role.

What are popular job titles related to Language Model jobs in Virginia?

For Language Model jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Language Model jobs in Virginia look for?

The top searched job categories for Language Model jobs in Virginia are:

What cities in Virginia are hiring for Language Model jobs?

Cities in Virginia with the most Language Model job openings:

Language Model jobs near you
Infographic showing various Language Model job openings in Virginia as of August 2026, with employment types broken down into 2% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Full-Stack Software Engineer

Bridge Core (BCore)

Reston, VA • Hybrid

$165K - $195K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Job description

OverviewFull-Stack Software EngineerReston, VA (Hybrid)TS/SCI with Poly 

At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions. 

Do you want to join a team that is building tailored technical solutions to modernize our government's mission and our client's business?  Do you have a desire to change how people work?  Are you interested in helping to protect our nation's cyber interests? Join our growing team supporting customer missions as a Full-Stack Software Engineer in Reston, VA (Hybrid).

Responsibilities

Responsibilities 

We are looking for a full-stack software engineer to build and extend an offline, edge AI data-triage application through a rapid prototype and its redeployment as mission needs evolve. The application runs entirely on a single, standalone device with no network connection. Technical tasks include: 

  • TS/SCI with polygraph
  • Building and extending the offline, standalone application (Python/Flask) that ingests documents, images, audio, and video and runs locally hosted AI models to translate, summarize, extract entities, and catalog content 
  • Developing the browser-based local user interface: ingest dashboard, tag filters, search, and a natural-language question interface 
  • Integrating and operating on-device AI/ML components, including local open-weight language models, retrieval-augmented generation, a vector store and embeddings, speech transcription, and multimodal vision models 
  • Building the controlled sandbox and data-security features: malware scanning and rule-based detection, file-type allow-listing, a quarantine landing zone, unprivileged containers with read-only mounts, and ephemeral teardown on shutdown 
  • Packaging the application for standalone, offline installation on a zero-trust Linux laptop baseline, including single-package and side-load delivery across enclave boundaries 
  • Maintaining a self-hosted CI/CD pipeline and cutting versioned releases that record model and behavior changes 
  • Validating near-real-time processing against edge data loads from 128 GB to 1 TB across text, image, audio, and video 
  • Supporting redeployment and iteration of the capability after the prototype as requirements change 
Qualifications

Required Qualifications:   

  • Front-end web development with JavaScript, HTML, and CSS for browser-based interfaces 
  • Strong Python, including backend web development (Flask or equivalent) 
  • Containerization with Docker and comfort working on Linux (Rocky Linux or the RHEL family) 
  • Experience integrating AI/ML or large language model components into applications 
  • Experience with data workflows using relational databases and/or vector stores 

Desired Qualifications:

  • Local or offline LLM tooling (e.g., Ollama) and retrieval-augmented generation (RAG) 
  • Vector databases (e.g., ChromaDB) and sentence embeddings (e.g., all-MiniLM) 
  • Speech-to-text (Whisper / faster-whisper) and multimodal vision models 
  • Text extraction (Apache Tika) and metadata standards (Dublin Core) 
  • Application security and sandboxing: ClamAV, YARA, unprivileged containers, encryption, role-based access control 
  • Self-hosted CI/CD and Git for source control 
  • Building for air-gapped, disconnected, or edge environments and standalone portable devices 
What you can expect from us
  • The expected salary range within the Washington, DC metropolitan area is: $165,000 - 195,000. Final compensation is unique to each individual and will be determined based on factors such as experience, education, geographic location, and contractual requirements. This is not a guarantee.
  • Benefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life Insurance, Stipends, Referral Bonuses, and more.

BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

Employment Type: FULL_TIME

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