Principal Machine Learning Engineer I *** Hybrid In Raleigh, Nc

Case Law Reporter

Raleigh, NC, United States
Base: $133,400 - $247,800; bonus/equity: annual in...
Llms
Rag
Agentic systems
Architect, develop, and advise on end-to-end AI solutions — leveraging LLMs, RAG, agentic systems, and cloud-scale infrastructure — while guiding teams on best practices, ensuring production readiness, and aligning AI system design with business and technical goals

Job Summary

  • Architect, develop, and advise on end-to-end AI solutions — leveraging LLMs, RAG, agentic systems, and cloud-scale infrastructure — while guiding teams on best practices, ensuring production readiness, and aligning AI system design with business and technical goals.
  • Deep expertise in LLMs, RAG, agentic systems, MCP, vector databases, cloud platforms (AWS/Azure/GCP), and data engineering, combined with strong skills in Python, AI architecture, MLOps, and software engineering best practices.
  • This job is eligible for an annual incentive bonus and offers comprehensive benefits including health, retirement, wellbeing programs, and various insurance options.

Matching Summary

Architect, develop, and advise on end-to-end AI solutions — leveraging LLMs, RAG, agentic systems, and cloud-scale infrastructure — while guiding teams on best practices, ensuring production readiness, and aligning AI system design with business and technical goals.

Salary

Base: $133,400 - $247,800; Bonus/Equity: Annual incentive bonus; Benefits: Health, Retirement, Wellbeing, Insurance

Skills & Requirements

Must-have

  • LLMs
  • RAG
  • agentic systems
  • vector databases
  • cloud platforms (AWS/Azure/GCP)
  • Python
  • MLOps

Nice-to-have

  • ethical AI deployment
  • multi-model approach
  • legal use case prioritization

Key Requirements

  • U.S. National Base Pay Range: $133,400 - $247,800
  • Eligible for annual incentive bonus

Work Rights

Not specified

Tailored Resume

Cover Letter