Software Engineer

Software Engineer, SMEGRAY WOLF SOLUTIONS SOFTWARE ENGINEER, SME Chantilly, VA area Active TS/SCI and FS poly requiredKEY TASKS:Participate in all Lean Agile scrums, sprints, and 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 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.REQUIRED SKILLS AND DEMONSTRATED EXPERIENCE:Working in Lean Agile Development environment.Building or integrating LLM-based solutions, including RAG, semantic search, or AI-assisted retrieval systems.Developing detailed design and associated deliverables.Translating customer and system requirements into design.Designing system interfaces.Developing Single Page Applications using React (modern hooks-based architecture), HTML5, CSS3.Developing RESTful APIs using Node.js and Express (or comparable modern backend frameworks).Troubleshooting Internet and Web related protocols and technologies such as Tomcat, Nodejs, Web Services, or SSL.Testing platforms such as Jest or Karma.Working with DevOps tools such as Git, Jenkins, or Nexus.Experience with Elasticsearch (index design, querying, relevance tuning, and scaling).Designing or implementing data pipelines to support search and/or RAG workflows (e.g., ingestion, chunking, embeddings, vector search).HIGHLY DESIRED SKILLS AND DEMONSTRATED EXPERIENCE:Recent experience with the Sponsor's Lean Agile methodologyEvaluating, 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.