Gallatin

Gallatin

AI Engineer – Decision & Optimization Systems

El Segundo, CA

Sponsorship not specifiedDetected 200 days ago
PythonJavaGoC++LLMsAgentic AICybersecuritySupply ChainLogisticsResearchCommunication

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16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • Your work ensures that AI-generated logistics plans respect command hierarchy, policy, safety, and operational reality-so when we execute, we execute correctly.
  • You will work closely with routing, packing, optimization, and AI-agent teams to translate intent, authority, and uncertainty into auditable, enforceable, and explainable decision systems.

Responsibilities

  • Design and implement models that encode command hierarchy, authority limits, and policy rules into formal feasibility checks.
  • Build and maintain a centralized constraint framework used across optimization and planning systems.
  • Build robustness against incomplete, delayed, or noisy operational data.
  • This position may require the ability to obtain and maintain a U.S. government security clearance.

Requirements

  • Proficiency in at least one of: Python, Java, Go, or C++
  • Strong understanding of:
  • This position may require the ability to obtain and maintain a U.S. government security clearance. The successful candidate must be able to work in a classified environment when necessary.
  • Note: Due to the nature of certain government contracts held by this organization, U.S. citizenship is a requirement for all positions at Gallatin. Proof of citizenship will be required prior to employment if selected.
  • The successful candidate must be able to work in a classified environment when necessary.
  • Proof of citizenship will be required prior to employment if selected.

Skills

  • 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.
  • 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.
  • 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.

Compensation

  • Gallatin offers competitive compensation commensurate with experience.
  • Actual compensation may vary based on experience, skills, and location.
  • In addition to base salary, we offer a generous equity grant, full healthcare coverage, 401k, unlimited PTO, and the perks of working in a high-caliber, mission-driven environment.
  • We comply with the United States Department of Labor's Pay Transparency provision https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_English_unformattedESQA508c.pdf.

Company info

  • In addition to base salary, we offer a generous equity grant, full healthcare coverage, 401k, unlimited PTO, and the perks of working in a high-caliber, mission-driven environment.

Equal opportunity

  • Gallatin is an equal opportunity employer.

Visa & Work Authorization

  • government security clearance
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This listing is sourced directly from Gallatin's careers page and normalized into a canonical job model.