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# Full-Stack Software Engineer

- **Company:** B CORE LLC
- **Location:** Reston, VA, United States
- **Salary:** $165,000.0 - $195,000.0
- **Contract:** Permanent contract
- **Skills:** HTML, JavaScript (Programming Language), Artificial Intelligence, Apache HTTP Server, Cascading Style Sheets (CSS), Continuous Integration, Relational Databases, Linux, Web Development, Human-Computer Interaction, Python (Programming Language), Metadata Standards, Language Modeling, Network Connections, Rapid Prototyping Process, Role-Based Access Control, Red Hat Enterprise Linux, Zero Trust Network Access, Systems Integration, Speech Recognition, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Software Security, Backend, Git, Containerization, Front End Software Development, Software Version Control, Docker
- **Published:** July 11, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9025214/full-stack-software-engineer

## About the Role

* 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

## Description

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) ., 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, * 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


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