Software Engineer (Applied AI)

Join CHAOS, a mission-driven company focused on developing AI/ML-powered capabilities for defense applications. As an Applied AI Engineer, you will work closely with data scientists, software engineers, product teams, and mission stakeholders to conduct advanced AI research and turn it into reliable, real-world software. You will build applied AI systems, evaluate and improve model performance, develop production-quality software, create rapid prototypes, and contribute to AI system reliability. The position offers generous benefits, including pre-IPO stock options, relocation assistance, and unlimited PTO.

• Concevoir, intégrer et déployer des systèmes d'IA appliquée dans les lignes de produits de CHAOS, y compris l'intégration de modèles, les services d'inférence et les capacités d'IA orientées production.
• Effectuer des recherches et construire des produits en collaboration avec les équipes de produits et de missions, en collectant des données, en vérifiant les hypothèses et en créant des modèles robustes et testables.
• Évaluer et améliorer les performances des modèles dans des conditions réelles, y compris les environnements adverses, les déploiements à faible puissance ou en périphérie.
• We are looking for someone with strong data science and software engineering fundamentals, a record of technical excellence, and demonstrated experience applying AI/ML techniques to real products. Experience in aerospace, defense, critical infrastructure, robotics, RF systems, or other highly regulated or mission-driven environments is a strong plus
• You should be comfortable operating with independence, learning unfamiliar technical domains quickly, working across disparate teams, and moving prototypes toward production with limited oversight
• BS/MS in Computer Science, Engineering, Machine Learning, Applied Mathematics, Physics, or a related technical field
• 2+ years of professional software development experience
• Strong Python programming skills
• Excited to learn unfamiliar technical domains
• Experience with AI/ML model integration, model serving infrastructure, or model lifecycle management
• Experience with model evaluation, benchmarking, robustness testing, interpretability, or ML observability
• Experience building, testing, deploying, and supporting production software systems
• Familiarity with APIs, distributed systems, containers, CI/CD, observability, and edge deployment environments/GPU optimization
• Experience with digital picture or video processing
• Experience with analog or digital RF signal processing
• Experience productizing machine learning models, LLM applications, computer vision systems, signal-processing systems, or autonomous/robotic systems
• Experience with drone, robotics, sensor fusion, tracking, or moving-target detection systems
• Experience building AI agents or agentic workflows
• Contributions to open-source projects or technically significant public work
• Experience in aerospace, defense, critical infrastructure, robotics, or other mission-critical environments is a strong plus
• Familiarity with edge deployment, low-latency inference, hardware-constrained systems, or degraded-connectivity environments