Applied AI Engineer, Internal Systems

Gallatin is rebuilding logistics infrastructure and AI systems for national security missions and allied partners. The Applied AI Engineer, Internal Systems will build, deploy, and maintain AI tools and internal applications that connect company systems, automate workflows, and help colleagues work more efficiently. The role covers technical design, implementation, reliability, evaluation, observability, access controls, and ongoing improvement of internal AI systems.

Responsibilities:

• Turn workflow problems into technical requirements. Identify where a process should change before automating it
• Build applications and integrations that connect models to company systems. Use conventional code where the behavior needs to be predictable
• Turn useful experiments into software people can depend on, with evaluations, observability, and a way to recover when something fails
• Design access controls and human review into workflows that handle sensitive information or take consequential actions
• Instrument the systems so we can measure time saved and output quality. Use failure data to improve the software and give the product manager evidence for what to improve or retire
• Help colleagues use and extend what you build. Document the systems so another engineer can maintain them
• Work with the Internal AI Operations Product Manager to choose an initial workflow with a team that will use it. Establish a baseline together. Own the technical design and ship a working version with evaluations and observability, then improve it through regular use