Gallatin AI, Inc. · 12 hours ago
AI Engineer – Decision & Optimization Systems
El Segundo, CA
Full-time
Onsite
Mid, Senior LevelGallatin AI, Inc. is focused on modernizing defense logistics for the United States and allied forces using an AI-first approach. The AI Engineer will build decision systems that ensure AI-generated logistics plans adhere to command hierarchy and operational realities.
LogisticsMilitaryNational SecurityPredictive AnalyticsSoftwareSupply Chain Management
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Build & Own Feasibility and Authority Models
Design and implement models that encode command hierarchy, authority limits, and policy rules into formal feasibility checks
Convert AI-agent outputs (LLMs, planners, probabilistic models) into deterministic, enforceable constraints before execution
Ensure that authority and policy interpretations are traceable, inspectable, and safe
Build and maintain a centralized constraint framework used across optimization and planning systems
Encode: Authority rules, Compatibility constraints, Timing windows, Asset availability and readiness
Surface clear diagnostics for infeasible plans and constraint violations so humans and machines can understand what failed and why
Own the data inputs required for feasibility and constraint enforcement
Define and enforce data contracts, normalization, and validation pipelines
Build robustness against incomplete, delayed, or noisy operational data
Integrate feasibility checks into real-time and batch planning pipelines
Partner with optimization and execution teams to gate all actions on valid, policy-compliant inputs
Validate system behavior using scenario testing, simulations, and operational feedback from real users
Qualification
Required
Proficiency in at least one of: Python, Java, Go, or C++
Experience building constraint-based or rule-based systems in production
Experience integrating AI or agent-based reasoning into downstream decision or execution pipelines
Degree or equivalent experience in Operations Research, Applied Math, Industrial Engineering, Computer Science, or related field
Strong understanding of: Linear programming, Mixed-integer programming, Constraint satisfaction systems
Experience using tools such as Gurobi, CPLEX, OR-Tools, Pyomo, AMPL, or equivalent
Ability to reason about feasibility vs optimality tradeoffs
Comfort integrating probabilistic or AI-derived outputs into deterministic systems
Strong instincts for debugging, failure analysis, and explainability in high-stakes environments
This position requires the ability to obtain and maintain a U.S. security clearance and to work in classified environments when necessary
Preferred
Experience with logistics, supply chain, or routing systems
Experience working alongside optimization or planning teams
Exposure to defense, government, or mission-critical operations
Prior work integrating AI agents into decision or execution pipelines
Benefits
100% employer-paid health insurance
401(k)
Unlimited PTO
Catered meals
Company
Gallatin AI, Inc.
Gallatin is building a logistics platform based on the needs and constraints of today's defense industry.
Founded in 2024
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$15MKey Investors
8VC
2025-04-08Seed· $15M
2024-07-01Pre Seed
Company data provided by crunchbase