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Gallatin is rebuilding logistics infrastructure for U.S. national security missions, building AI systems that transform how logistics decisions are made. This AI/ML Software Engineer role is foundational to developing and deploying AI-powered solutions across the full ML lifecycle.
Key Responsibilities:
- Own and develop AI models aligned with core product needs, with expectation to deliver a production model within the first three months
- Validate AI-driven product features through real-world testing and feedback from warfighters
- Build and maintain scalable MLOps pipelines and real-time inference services for model training, deployment, runtime monitoring, and reliability
- Identify and integrate structured, unstructured, batch, and real-time data sources from internal logs, APIs, user interactions, and third-party datasets
- Implement comprehensive monitoring to ensure high model reliability and uptime
- Stay current with emerging AI trends and technologies to continuously improve model performance
- Document and share AI/ML development best practices across the organization
- Contribute to hiring and mentoring of AI/ML talent as the team scales
- Help the broader team understand latest trends and novel approaches in AI
The role operates at the intersection of data and decision-making, working cross-functionally to deliver real-world AI applications in high-stakes environments.
Requirements:
- Strong programming expertise in at least one of: Python, C++, or C
- Hands-on experience with AI/ML training and fine-tuning frameworks: PyTorch, TensorFlow, CUDA, Jupyter Notebooks
- Experience with Large Language Models (LLMs) and open-source models (Llama, Anthropic, Mistral)
- Familiarity with LangChain, Retrieval-Augmented Generation (RAG), Hugging Face, Exo Labs
- Experience with data processing and pipeline frameworks: Apache Kafka, Apache Airflow, AWS Kinesis, pandas, dbt
- Understanding of AI model performance monitoring, data drift detection, and observability tools (Grafana, Kibana)
- Deep understanding of deep neural networks (DNNs), LLMs, overfitting/underfitting, prompt engineering, and LLM security (jailbreaking risks and protections)
- Growth mindset with passion for continuous learning and teaching others
Bonus:
- Experience mentoring and upskilling junior engineers
- Familiarity with legacy systems and public sector customers
- Open-source AI/ML project contributions
Note: U.S. citizenship is required. Position may require ability to obtain and maintain a U.S. government security clearance and work in classified environments.
