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Gallatin AI, Inc. · 1 day ago

AI Software Engineer

El Segundo, CA

Full-time

Onsite

Mid, Senior Level

$134K/yr - $210K/yr

Gallatin is a company focused on improving defense logistics for the United States and allied forces through AI-driven software products. The AI Software Engineer will develop and deploy AI-powered solutions, working across the full AI/ML lifecycle and collaborating with cross-functional teams to deliver impactful applications.

LogisticsMilitaryNational SecurityPredictive AnalyticsSoftwareSupply Chain Management

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Build and Deploy AI/ML Models

Own and develop an AI model aligned with our core product needs within the first three months

Validate AI-driven product features through real-world testing and feedback from warfighters

Establish scalable MLOps pipelines and real-time inference services to streamline model training, deployment, runtime, and monitoring

Own high model reliability and uptime by implementing monitoring across your work

Identify and integrate structured, unstructured, real-time, and batch data sources

Work with internal logs, APIs, user interactions, and third-party datasets to improve model training quality

Stay ahead of AI trends and emerging technologies to improve model performance

Document and share best practices for AI/ML development

Contribute to the hiring and mentoring of AI/ML talent as we grow our team

Teach the wider team about the latest trends and significance in novel approaches in AI

Qualification

PythonMLOpsAI/ML FrameworksData EngineeringDeep Neural NetworksGrowth MindsetMentoring

Required

Strong Programming Skills: Expertise in at least one: Python, C++, or C

ML Framework Proficiency: Hands-on experience with AI/ML training and fine-tuning frameworks, including: PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic, Mistral), LangChain, Retrieval-Augmented Generation (RAG), Hugging Face, Exo Labs

MLOps & Data Engineering Knowledge: Experience with data processing and pipeline frameworks such as Apache Kafka, Apache Airflow, AWS Kinesis, pandas, and dbt. Understanding of AI model performance monitoring, data drift detection, and observability tools like Grafana or Kibana

AI Fundamentals & Security Awareness: Deep understanding of deep neural networks (DNNs), LLMs, over/underfitting, prompt engineering, and LLM security (jailbreaking risks and protections)

Growth Mindset: Passion for continuous learning and staying current with the latest advancements in AI/ML, as well as teaching others

This position requires the ability to obtain and maintain relevant security clearances. The successful candidate must be able to work in a classified environment when necessary