Jobs at Gallatin AI, Inc.

Build and operate production ML infrastructure across cloud, on-premises, GPU, edge, and disconnected environments. Own model training and serving, CI/CD, reproducibility, evaluation, observability, data pipelines, retrieval systems, and secure IL5/IL6 deployments. Support accreditation and classified environments while improving reliability, quality, and performance of LLM and ML systems.

Design and ship interfaces for complex military logistics and AI systems. Conduct user research, prototype rapidly, collaborate with product and engineering teams, develop design systems, participate in design reviews, document specifications, and support product strategy. The role emphasizes human factors, information-dense interfaces, systems thinking, and designing for simulated and physical operational environments.

The AI Software Engineer will develop and deploy AI-powered solutions, build MLOps pipelines, integrate data sources, and ensure model performance in a logistics context.

As a Fullstack Engineer, you will build and deliver features, design data models, collaborate with teams, and enhance CI/CD processes to improve logistics decisions for national security missions.

The Senior Frontend Engineer will develop and enhance the Navigator platform using Vue.js, improve user experience, maintain CI/CD workflows, and collaborate with cross-functional teams.

The Backend Engineer will develop and maintain scalable backend services and APIs for an AI-driven logistics platform while ensuring system reliability, performance, and security. Responsibilities include designing architecture, implementing data pipelines, collaborating with teams, and mentoring new members. The role requires proficiency in backend languages and cloud infrastructure.

As a Cleared Software Engineer, you will build demo-able features for logistics systems, extend APIs, design data models, manage data pipelines, and collaborate with cross-functional teams to improve engineering practices.

Design, build, and operate secure, production infrastructure spanning cloud-native and air-gapped edge deployments. Own Kubernetes multi-cluster operations, hardened artifact pipelines, monitoring/incident response, and embed security and compliance (STIGs, CVE remediation, FedRAMP/JWICS) into platform delivery while collaborating across product, engineering, and GRC.