Jobs at Gallatin AI, Inc.

Design and implement algorithms for packing and allocation in logistics, ensuring operational feasibility. Manage data and integrate solutions into workflows.

Gallatin is seeking exceptional engineers to build AI systems for logistics decisions in national security. The role emphasizes direct communication, ownership, and problem-solving in a high-stakes environment.

As an AI Engineer, you will design and implement systems that enforce feasibility and authority in logistics decision-making, ensuring compliance with command policies. You will work on integrating AI reasoning with execution workflows, handling data validation, and improving the decision-making framework.

Lead design, deployment, and operation of AI platforms in critical government spaces, engaging with stakeholders and enhancing solutions.

The Technical Recruiter will manage the full recruitment process, design sourcing strategies, and build candidate pipelines in a fast-paced environment.

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 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.

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