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Full-Stack Software Engineer

  • Job type Posted on: Jul 16, 2026
  • Experience level B/CORE
  • Employment type Reston, Virginia
  • Remote status Salary: $165,000 per year
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Full-Stack Software Engineer

Job Type :

Full-time

Job Location :

Reston Virginia United States

Remote :

No

Jobcon Logo Job Description :

Full-Stack Software Engineer 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 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.

Jobcon Logo Position Details

Posted:

Jul 16, 2026

Reference Number:

14660_F544CCDCA1D7FDCACE6780FA23BEDB2A

Employment:

Full-time

Salary:

Not Available

City:

Reston

Job Origin:

APPCAST_CPC

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Full-Stack Software Engineer 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 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.

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