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