Principal Machine Learning Engineer
Core
Architecting distributed ML systems, agentic frameworks, and multi-step reasoning solutions for global legal products.
Role type
Principal Machine Learning Engineer (AI Architecture & Systems)
Builds
Distributed ML systems, LLM serving/retrieval infrastructure, agentic frameworks, multi-step reasoning systems
Domain
Legal technology, Large Language Models (LLM), AI Systems
Deliverable
production ML models | infrastructure
Required skills
System design and architecture for AI, deploying ML solutions to production, distributed systems design, LLM serving, agentic framework design, multi-step reasoning system architecture, CI/CD for ML lifecycle, data governance compliance
Preferred skills
Computer Science degree
Technologies
AI, CI/CD, LLM, RAG
Responsibilities
Provide architectural direction and code-level guidance for ML systems, establish engineering best practices for ML system design and deployment, conduct design and performance reviews, architect distributed ML systems serving global products, standardize infrastructure patterns for LLM serving and retrieval, define and implement enterprise-ready agentic frameworks, architect multi-step reasoning systems, implement guardrails and safety layers for AI, develop evaluation frameworks for reasoning quality and hallucination rates, establish CI/CD standards for ML lifecycle management, ensure compliance with enterprise data governance and responsible AI standards