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About the Role

Gallatin is rebuilding logistics infrastructure for national security missions, developing AI systems that influence decision-making from factory to foxhole. This role focuses on deploying AI/ML models from development to production, managing the underlying infrastructure, release processes, evaluation, and monitoring systems.

Responsibilities

Own model training, fine-tuning, and batch inference infrastructure across AWS (SageMaker, EKS) and on-premises GPU hardware.
Stand up and tune LLM inference serving, including vLLM-class stacks, quantization, continuous batching, KV-cache, and throughput sizing.
Build for DDIL (Deployable Defense Infrastructure Laboratory) with local inference, configurable fallback, degraded-mode behavior, and resource envelopes.
Build CI/CD for models and pipelines, including versioned datasets, a model registry, promotion gates, and rollback.
Own infrastructure as code, containerization, and GitOps deployment across various environments.
Ensure reproducibility of results from a commit and dataset version.
Build and own the evaluation harness, including regression suites, LLM-as-judge pipelines, and adversarial/held-out sets.
Instrument production for drift, latency, cost, retrieval quality, and failure modes.
Make metrics defensible to external test and evaluation reviewers.
Own ingestion, versioning, and lineage for logistics and doctrinal data.
Build and operate embedding and feature pipelines, incremental indexing, and retrieval index freshness systems.
Build human-in-the-loop infrastructure, including confidence-scored routing, review queues, and feedback capture.
Deploy and operate ML systems in IL5 and IL6 environments, including air-gapped or restricted-network enclaves.
Support ATO and continuous-authorization work with implementation evidence tied to security controls.
Handle CUI and classified data correctly.
Support the mission of creating decision advantage when the stakes are the highest.

Requirements

5+ years in MLOps, ML platform, or infrastructure engineering, with significant experience on systems with real users.
Strong Python skills and comfort in a production codebase.
Deep Kubernetes and containerization experience, plus infrastructure as code.
Production experience with AWS ML/Azure infrastructure (SageMaker, EKS, or equivalent).
Hands-on GPU infrastructure experience: scheduling, utilization, memory sizing, and cost.
Hands-on experience deploying and operating production software in IL5 or IL6 environments, including disconnected or restricted-network deployments.
Shipped an LLM or ML system to production and maintained it.
Built evaluation and monitoring for ML systems.
Ability to reason about pipeline quality and identify metrics measuring the wrong thing.
Comfort with ambiguity and owning a domain end-to-end.
Willingness to learn the mission domain.
U.S. citizenship is a requirement for all positions.
Ability to obtain and maintain a U.S. government security clearance.
Ability to work in a classified environment when necessary.

Skills

MLOps
ML platform engineering
Infrastructure engineering
Python
Kubernetes
Containerization
Infrastructure as Code
AWS SageMaker
AWS EKS
Azure ML infrastructure
GPU infrastructure management
IL5 environments
IL6 environments
Disconnected deployments
Restricted-network deployments
LLM serving
ML system evaluation
ML system monitoring
CI/CD
Model registry
GitOps
NIST SP 800-171
NIST SP 800-53 Rev. 5
CMMC Level 2
FIPS 140-3
RMF/eMASS
CUI handling
Classified data handling
LLM inference optimization
vLLM
TensorRT-LLM
Quantization
Prefix caching
Retrieval-grounded systems
Hybrid retrieval
Re-ranking
Index freshness
Citation quality
Edge deployment
On-premises deployment
ATO support
Continuous authorization support
Classified environment operations
Palantir Foundry
PostgreSQL
pgvector
NATS
JetStream
ArgoCD

Location

Remote
On-premises

Work Type

Full-time
Contract

Experience Level

5+ years

Education Level

Degree in CS, engineering, or a related technical field, or equivalent experience

Salary/Compensations

Competitive compensation commensurate with experience
Actual compensation may vary based on experience, skills, and location

Benefits

Generous equity grant
Full healthcare coverage
401k
Unlimited PTO

About the Company

Gallatin is 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.
We are building the system that enables faster, smarter logistics decisions in contested environments.
We are 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.
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.
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.

Equal Opportunity

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