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We’re looking for an exceptional Full Stack Software Engineer to support one of the Department of Defense’s most innovative AI transformation efforts. Our team functions and collaborates across multiple workstreams including engineering, mission operations, and executive leadership, ensuring highly technical projects deliver measurable outcomes.

Working directly with other engineers, architects, data scientists, analysts, and mission users, the Full Stack Developer will deliver agentic AI and knowledge graph features culminating in an enterprise-level analytics platform.

Responsible for designing, developing, and deploying secure, scalable applications that integrate agentic artificial intelligence, large language models (LLMs), knowledge graphs, and traditional enterprise software within Department of Defense (DoD) environments. This role combines modern full stack software development with AI engineering to create intelligent decision-support systems capable of autonomous reasoning, information discovery, workflow automation, and mission planning.

This position is ideal for someone who thrives delivering mission-focused work into production, enjoys bringing structure to complexity, and understands that successful AI projects require disciplined execution as much as technical excellence.

We are seeking an analytical, forward-thinking Graph Data Engineer to design, build, scale, and maintain the Enterprise Semantic Map — our ontology-grounded metadata graph.

In this role, you will move the enterprise beyond traditional, static cataloging by leading an automation-first approach. You will architect and deliver programmatic data and API integrations, design and configure graph database structures, and build the agentic workflows that discover and catalog disparate data sources across the enterprise. Partnering with graph, data, and engineering teams, you will align these assets to enterprise semantic and provenance layers so data is discoverable, understandable, trusted, and dynamically composable for human analysts, applications, and downstream AI agents.

Success in this role requires strong hands-on engineering skills and a systems-thinking mindset: the ability to reason about how data pipelines and tool integrations affect the broader enterprise architecture, search and discovery, and downstream agentic research workflows — and to make and defend design decisions that others will build on.

We are seeking an analytical, forward-thinking Junior Graph Data Engineer to help build, scale, and maintain the Enterprise Semantic Map — our ontology-grounded metadata graph.

In this role, you will help move the enterprise beyond traditional, static cataloging by supporting an automation-first approach. You will develop programmatic data and API integrations, help configure graph database structures, and support emerging agentic workflows that discover and catalog disparate data sources across the enterprise. Working alongside graph, data, and engineering teams, you will help align these assets to enterprise semantic and provenance layers so data is discoverable, understandable, trusted, and dynamically composable for human analysts, applications, and downstream AI agents.

Success in this role requires foundational coding skills and a systems-thinking mindset: an ability to understand how data pipelines and tool integrations affect the broader enterprise architecture, search and discovery, and downstream agentic research workflows and use cases.