Applied AI Engineer, Internal Systems

The role

You will own the engineering behind the AI tools Gallatin uses to run the company. You will work with the Internal AI Operations Product Manager to design, implement, deploy, and maintain applications and integrations that connect models to company systems.

What you will do

• Turn workflow problems into technical requirements
• Build applications and integrations that connect models to company systems
• Turn useful experiments into software with evaluations, observability, and recovery
• Design access controls and human review into workflows
• Instrument systems to measure time saved and output quality
• Help colleagues use and extend what you build
• Document the systems for maintenance

Required qualifications

• Strong programming ability in Python or TypeScript
• Experience building APIs and working with databases
• Experience building LLM applications or agents that use external tools and data
• Experience across the stack to build a usable interface and deploy the service
• Engineering judgment about reliability and security
• Comfort working directly with nontechnical colleagues

Nice to have

• Experience building internal tools
• Evaluating AI outputs
• Integrating business systems

Benefits

• Base salary
• Generous equity grant
• Full healthcare coverage
• 401k
• Unlimited PTO

Before you apply

• May require the ability to obtain and maintain a U.S. government security clearance
• Must be able to work in a classified environment when necessary
• U.S. citizenship is a requirement for all positions
• Proof of citizenship will be required prior to employment

About the company

Gallatin is rebuilding logistics infrastructure for the national security missions of the United States and allied partners. They build AI systems that determine how logistics decisions are made.