Gallatin AI, Inc. Logo

Gallatin AI, Inc.

AI Engineer – Decision & Optimization Systems

Reposted 18 Days Ago
In-Office
El Segundo, CA, USA
80K-210K Annually
Mid level
In-Office
El Segundo, CA, USA
80K-210K Annually
Mid level
As an AI Engineer, you will design and implement systems that enforce feasibility and authority in logistics decision-making, ensuring compliance with command policies. You will work on integrating AI reasoning with execution workflows, handling data validation, and improving the decision-making framework.
The summary above was generated by AI
About Gallatin

At Gallatin, we are rebuilding logistics infrastructure for the national security missions of the United States and allied partners. We build AI systems that determine how logistics decisions are made — not just how they're executed. From factory to foxhole, we operate at the layer where data becomes decisions, and decisions make the advantage.

About the Role

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.

In this role, you will build the systems that decide what plans are allowed to exist before any optimizer, agent, or human can act on them. 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.

What You’ll DoBuild & 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.

Constraint & Feasibility Frameworks
  • 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.

Data Ownership & Validation
  • 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.

Production Integration
  • 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.

What We’re Looking ForStrong Engineering & Modeling Skills
  • 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.

Optimization & Decision Science Background
  • 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.

Systems Thinking
  • 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.

Bonus Points
  • 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.

Mission and Identity

We are building the system that enables faster, smarter logistics decisions in contested environments, and we're doing it with a team of seasoned entrepreneurs, operators, and technologists who have built and scaled solutions in this space before. We hold ourselves to an extremely high standard. We value clear thinking, direct communication, and the kind of ownership that doesn't stop until something actually works.

Our mission is to create decision advantage when the stakes are the highest. If we succeed, the system doesn't just run; it gets smarter. We're not building AI for its own sake. We're building it because faster, smarter decisions in the most demanding environments on earth can't wait. If you want to work somewhere the stakes are real and the mission is urgent — you'll fit in here.


Why Gallatin?

The logistics infrastructure that supports America's warfighters and humanitarian disaster responders is overdue for transformation, and we are building it. From defense operations to disaster response, we're solving the hardest problems that keep missions moving when it matters most. Join a team where the mission is the point.
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.

Gallatin is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable federal, state, or local law.

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.

We comply with the United States Department of Labor's Pay Transparency provision.

Similar Jobs

A Minute Ago
Remote or Hybrid
United States
232K-370K Annually
Senior level
232K-370K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Lead complex enterprise sales cycles to acquire and expand multi-million dollar accounts. Architect territory and account plans, manage pipelines and forecasts, map customer IT architectures to Cloudflare reference architectures, lead virtual cross-functional teams, negotiate large contracts, and act as a trusted advisor driving digital transformation and long-term customer adoption.
Top Skills: Cloud NetworkingCloudflareCloudflare Reference ArchitecturesEdge ComputingGoogle SuiteMeddpiccMicrosoft Office (Msft Suite)SalesforceSecurityTableau
5 Minutes Ago
Remote or Hybrid
173K-303K Annually
Expert/Leader
173K-303K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead portfolio-level product and solutions marketing to define and promote the Autonomous IT category. Create the AI-native narrative, coordinate cross-product GTM and analyst/press strategy, build customer proof points, represent ServiceNow externally, and hire and manage a high-performing marketing team while influencing product-line PMMs, sales, and partners.
Top Skills: Agentic AiAIAi-NativeAutonomous Service OperationsItomItsmServicenow
6 Minutes Ago
Remote or Hybrid
155K-272K Annually
Senior level
155K-272K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead email channel strategy for buying-group engagement, translating buying-group GTM into segmentation, cadence, and lifecycle programs. Manage a team, design A/B and multivariate tests, embed email in integrated campaigns, monitor lifecycle-stage performance, pilot AI-driven personalization/automation, and partner across Integrated, Field, Media, Digital, and Analytics teams.
Top Skills: Marketo Engage

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account