Jobs at Gallatin AI, Inc.

Coordinate virtual and in-person interviews, manage onsite logistics in El Segundo, maintain ATS data and recruiting operations, support recruiters and hiring managers, improve processes, and provide high-touch candidate communication throughout the hiring process.

Own technical delivery for defense customers: integrate Navigator with existing logistics systems, build and optimize data pipelines, create onboarding playbooks and tooling, troubleshoot escalations, and feed customer needs into product roadmap while representing Gallatin on-site and at reviews.

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.

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

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.

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

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.

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.

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.

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.