Senior Machine Learning Engineer

The Senior Machine Learning Engineer will define the architecture for scalable AI/ML and agentic workflows at an enterprise data analytics company, with a focus on legal-industry solutions and a next-generation AI product. This role is fully hands-on and includes building, deploying, and integrating systems used for legal research, LLM-assisted experiences, retrieval, and enterprise agent workflows.

Role Summary

Own the technical direction for large-scale machine learning and AI capabilities, spanning model development and distributed ML systems. The work includes LLM research assistants, retrieval systems, and enterprise-grade agentic workflows designed to support legal research use cases.

Responsibilities

• 100% Hands On across model development, deployment, and production integration.
• Build and deploy advanced AI and machine learning models for legal research tools.
• Design and improve large-scale, distributed ML systems and enterprise platforms.
• Develop and integrate agent-based AI workflows and retrieval systems.
• Collaborate with engineering teams to ensure SI solutions are scalable and secure.

Requirements

• Skilled in AI/ML and agentic workflows.
• Skilled in LLM and RAG architecture.
• Experience with vector databases.
• Exposure to MLOps.
• Exposure to Python.
• Exposure to AWS and Kubernetes.

Technologies

• Python
• AWS
• Kubernetes

Desired Skills & Experience

• Experience working in the legal industry.
• 12+ years of development experience or 8+ years of development experience and a PhD.
• Degree in a relevant field.

Location and Work Setup

Raleigh, NC (onsite).

Benefits

• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k) (including match if applicable)

The Offer

Bonus or Commission eligible.