Full-Stack Software Engineer

# Full-Stack Software EngineerB/COREFull Timemid Hybrid Reston , Virginia, USPosted Yesterday##

Role Overview B/CORE is hiring a mid-level Full-Stack Software Engineer. This is a full-time hybrid role, based in Reston. Part of B/CORE's Fullstack hiring, posted yesterday. Full responsibilities, required qualifications, and the apply link are listed in the description below.## Salary Context Salary is not disclosed in this posting. Market median for Mid-level Fullstack roles is $140k-$220k (based on 44 comparable listings).

Many employers share specifics during the interview process or after an initial screen.## Resume Keywords to Include Make sure these keywords appear in your resume to improve ATS scoring

Python Java Script HTMLCSSFlask Docker Linux Apache Sign  up free to auto-tailor your resume with all these keywords and get a higher ATS score## Job description

Reston, 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, Dev Sec Ops , 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

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…