Retrieval Augmented Generation Rag Jobs in Virginia

Job Summary:
B4Corp is a small defense contracting company that focuses on providing an optimum environment for mission-focused, highly skilled consultants to support the United States of America’s intelligence community and other defense organizations. They are seeking a Software Engineer to design and develop software systems, collaborate with various teams, and integrate advanced AI capabilities.
Responsibilities:
• Participate in all Lean Agile scrums, sprints and grooming sessions.
• Consult and coordinate appropriately for problem resolution, task scheduling, new resource requirements, and task clarification.
• Work in partnership with an integrated team of staff and contractors.
• Understand the cloud environments, such as AWS or Azure.
• Coordinate and collaborate with security, operations, engineering, testing and other teams to provide system information and technical support.
• Design, develop and modify software systems.
• Document and track vendor software roadmaps for software and patch version updates.
• Unit test their software and perform code.
• Design and implement scalable search and retrieval systems leveraging Elasticsearch.
• Develop and integrate LLM-powered capabilities, including Retrieval-Augmented Generation (RAG) pipelines.
Qualifications:
Required:
• Position Requires a Top Secret (TS/SCI) Clearance with a Polygraph.
• Candidate must have hands-on experience with chatbots integration into search services.
• Participate in all Lean Agile scrums, sprints and grooming sessions.
• Consult and coordinate appropriately for problem resolution, task scheduling, new resource requirements, and task clarification.
• Work in partnership with an integrated team of staff and contractors.
• Understand the cloud environments, such as AWS or Azure.
• Coordinate and collaborate with security, operations, engineering, testing and other teams to provide system information and technical support.
• Design, develop and modify software systems.
• Document and track vendor software roadmaps for software and patch version updates.
• Unit test their software and perform code.
• Design and implement scalable search and retrieval systems leveraging Elasticsearch.
• Develop and integrate LLM-powered capabilities, including Retrieval-Augmented Generation (RAG) pipelines.
• Developmental (0-2 years’ experience)
• Full Performance (3-5 years’ experience)
• Senior (6-10 years’ experience)
• Expert (11-15 years’ experience)
• SME (16+ years’ experience)
• Demonstrated experience working in Lean Agile Development environment.
• Demonstrated experience building or integrating LLM-based solutions, including RAG, semantic search, or AI-assisted retrieval systems.
• Demonstrated experience developing detailed design and associated deliverables.
• Demonstrated experience translating customer and system requirements into design.
• Demonstrated experience designing system interfaces.
• Demonstrated experience developing Single Page Applications using React (modern hooks-based architecture), HTML5, and CSS3.
• Demonstrated hands-on experience developing RESTful APIs using Node.js and Express (or comparable modern backend frameworks).
• Demonstrated hands-on experience with and troubleshooting of Internet and Web related protocols and technologies such as Tomcat, Nodejs, Web Services, or SSL.
• Demonstrated experience with testing platforms such as Jest or Karma.
• Demonstrated hands-on experience working with DevOps tools such as Git, Jenkins, or Nexus.
• Demonstrated hands-on experience with Elasticsearch (index design, querying, relevance tuning, and scaling).
• Demonstrated experience designing or implementing data pipelines to support search and/or RAG workflows (e.g., ingestion, chunking, embeddings, vector search).
Preferred:
• Demonstrated recent experience with the Sponsor’s Lean Agile methodology
• Experience evaluating, selecting, and integrating LLMs (e.g., OpenAI, open-source models) into enterprise applications.
• Experience with vector databases, hybrid search (keyword + semantic), and relevance optimization.
• Ability to lead or mentor teams in adopting search + AI/LLM best practices (strong preference for candidates who can elevate team capability, not just contribute individually).
Company:
B4Corp is a customer focused company that provides an outstanding compensation and B4Corp benefits. Founded in 2010, the company is headquartered in Leesburg, USA, with a team of 11-50 employees. The company is currently Early Stage.