AI Engineer – Decision & Optimization Systems
GallatinDefense Logistics company
El Segundo, United StatesMid
8VC
Silent Ventures
Moonshots Capital
Timeless Partners
Banter Capital
Data & AI
About the role
TL;DR
Build and own feasibility and authority models for AI-driven logistics decisions.
- •We're looking for an AI Engineer
- •Decision & Optimization Systems to own the feasibility, authority, and constraint layers that sit between AI reasoning and real-world execution.
- •Key Responsibilities 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.
- •Build and maintain a centralized constraint framework used across optimization and planning systems.
- •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.
- •Requirements Proficiency in at least one of: Python, Java, Go, or C++ Experience building constraint-based or rule-based systems in production.
- •Strong understanding of Linear programming, Mixed-integer programming, and Constraint satisfaction systems.
- •Experience using tools such as Gurobi, CPLEX, OR-Tools, Pyomo, or AMPL.
Required skills
PythonJavaGoC++
Domain expertise
logistics
Benefits & perks
competitive compensation, equity grant, full healthcare coverage, 401k, unlimited PTO
Tech stack
PythonJavaGoC++