To develop and maintain scalable AI/ML systems and features, the remote Principal AI/ML Engineer will build and deploy Generative AI capabilities, design agentic AI systems for compliance workflows, and integrate evaluation frameworks into production environments. Key responsibilities Build and deploy Generative AI features using foundation models and optimize inference pipelines for latency and cost Design agentic AI systems for compliance workflows, document review, and multi-step reasoning tasks Operate end-to-end MLOps pipelines, including deployment systems, monitoring, and rollback workflows Required qualifications 5+ years of experience in data science, ML engineering, or related roles 3+ years of experience building NLP/generative AI applications and implementing MLOps in production Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field Production-level experience with Python and relevant ML libraries (e.g., TensorFlow, PyTorch) Hands-on experience with Generative AI models and MLOps practices