VG Software Engineer 2

PLEASE NOTE: This position requires an ACTIVE Top Secret/SCI Clearance with Polygraph. To be considered for this position, you MUST have an ACTIVE Clearance Level of Top Secret/SCI with Polygraph Position Code: 03-SO0709-1 KEY TASKS: 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.

REQUIRED SKILLS

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 technologies.

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). HIGHLY DESIRED SKILLS AND DEMONSTRATED EXPERIENCE: 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).