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Principal AI/ML Engineer

Location: Remote
Compensation: To Be Discussed
Reviewed: Mon, Aug 10, 2026
This job expires in: 20 days

Job Summary

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

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