AI Software Engineer (TS/SCI)

Location: Herndon, Virginia, or Westminster, Colorado; U.S. citizenship and an active TS/SCI clearance are required.

Salary: $140,000–$200,000 annual base pay, depending on qualifications, experience, work location, and market conditions.

Company

Develops spatial intelligence products and mission-support tools that help decision makers and operators understand current events and plan future actions.

What you will do

• Integrate secure AI chatbots and assistants into geospatial, analytics, visualization, and mission applications.
• Build natural-language workflows for data discovery, application navigation, visualization generation, and approved actions.
• Implement prompt orchestration, retrieval-augmented generation, tool calling, conversation context, and related LLM patterns.
• Connect AI services to REST APIs, data catalogs, search platforms, knowledge graphs, geospatial services, notebooks, and dashboards.
• Develop reusable backend services and frontend components for analyst-facing AI assistance.
• Enforce identity, entitlements, data-access policies, citations, provenance, audit records, safety controls, and clear system limitations; deploy and operate services in Kubernetes and Red Hat OpenShift, including restricted or disconnected environments.

Requirements

• U.S. citizenship and an active TS/SCI clearance are required; willingness to obtain a CI poly is required.
• Bachelor’s degree in computer science, software engineering, data science, artificial intelligence, or a related field, plus 8+ years of professional software engineering experience delivering production applications or services.
• Hands-on experience integrating generative AI or LLMs into production applications using RAG, embeddings, vector search, function calling, or agent workflows.
• Strong Python skills and experience with JavaScript, TypeScript, Java, Go, C++, or another modern language.
• Experience building REST APIs or microservices and using Git, automated testing, CI/CD, and Agile development practices.
• Experience integrating enterprise data sources and applying secure identity, authorization, and data-protection controls.

Nice to have

• Experience building chatbot interfaces with React, TypeScript, or comparable web frameworks and applying usability practices.
• Experience with AI orchestration frameworks, model gateways, MCP-compatible services, or agent-to-tool integration.
• Experience deploying commercial, open-source, or locally hosted LLMs in cloud, on-premises, classified, air-gapped, or disconnected environments.
• Experience with vector search, Elasticsearch, knowledge graphs, GIS, imagery, geospatial applications, or other mission-critical systems.
• Experience with AI safety controls, human-in-the-loop approvals, model monitoring, evaluation, GPU workloads, or model serving.
• Experience with containers and Kubernetes; Red Hat OpenShift experience is preferred.

Culture & Benefits

• Full-time employment supporting spatial intelligence and mission-focused customer work.
• Benefits include a 401(k) with company match, mental health resources, student loan repayment assistance, adoption reimbursement, and pet insurance.
• The application window is three days from posting or reposting and remains open until a qualified candidate is identified.

Hiring process

• Submit the application through the career page.
• Employment for cleared roles is contingent on verification of clearance status; certain work may also require U.S. person status under ITAR export-control rules.