Full Stack Software Engineer
Join the Team Building the Future of AI for National Security
Now is an exciting time to join Redhorse Corporation.
We are redefining how the U.S. Government transforms data into operational advantage through artificial intelligence, graph analytics, and mission-driven software engineering. Our teams work alongside the Department of Defense to build secure, scalable capabilities that enable analysts and decision-makers to move faster, reason better, and operate with greater confidence.
Our approach combines human-centered design, modern software engineering, graph technologies, artificial intelligence, and agile delivery to solve some of the nation’s most challenging problems.
About the Role
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.
Key Responsibilities
- Design and implement autonomous AI agents capable of planning, reasoning, and executing multi-step workflows.
- Develop orchestration pipelines using modern agent frameworks.
- Integrate Large Language Models (government-approved) into enterprise applications.
- Develop architectures and/or ingestion pipelines that will use structured and unstructured data.
- Optimize AI workflows for security, performance, explainability, and reliability.
- Develop APIs supporting AI-enabled applications.
- Support the integration of the knowledge graph database and enterprise analytics tools, AI reasoning chains, and mission data.
- Develop scalable microservices and containerized applications.
- Integrate entity resolution tooling into the platform.
- Support the design, configuration, and maintenance of knowledge graphs representing mission data.
- Develop semantic search and context-aware information retrieval solutions.
- Participate in CI/CD pipeline development and automated testing.
- Implement secure coding practices consistent with DoD cybersecurity requirements.
- Perform vulnerability remediation and support Authority to Operate (ATO) activities.
Experience/Clearance
- Active Top Secret clearance with SCI eligibility (TS/SCI required).
- Bachelor’s degree in Engineering, Computer Science, Information Systems, Artificial Intelligence, Data Science, or related technical discipline.
- 5+ experience as a full stack developer with upward trajectory. Experience supporting government or defense programs preferred.
- Experience delivering enterprise software to government production environments, including hands on AI/ML initiatives, and complex systems integration efforts.
- Experience on Agile, cross-functional engineering teams delivering modern cloud-based solutions.
- Understanding of secure software development practices, RMF (Risk Management Framework,) relevant NIST publications.
- Strong analytical, debugging, and systems thinking skills with the ability to communicate complex technical concepts to technical and non-technical stakeholders.
- Experience translating mission requirements into AI-enabled software solutions.
- Passion for emerging AI technologies and continuous learning.
- Ability to work independently and collaboratively in multidisciplinary teams.
- Commitment to delivering secure, reliable, and mission-focused software solutions.