LO-01 | Principal Engineer — AI/ML Platform

Location: United States (Remote)

Employment Type: Permanent, Full-Time

Role Overview

Principal-level engineer owning production-scale AI/ML platform systems in enterprise environments. This role requires deep ownership of LLM production systems, cloud infrastructure expertise, MLOps tooling, and architectural leadership across multiple teams.

Requirements

• Extensive production AI/ML engineering experience
• Real production LLM system ownership (not research or prototype)
• Specific experience with: RAG implementations, fine-tuning workflows, evaluation frameworks, guardrails and safety systems, model monitoring and drift detection
• Cloud and infrastructure: AWS, GCP, or Azure, Kubernetes, distributed systems
• AI/MLOps tooling: CI/CD for ML, experiment tracking, monitoring and observability
• Team leadership: architectural ownership, multi-team influence, platform standards definition

Submittal Requirements

• LinkedIn URL
• Current location and time zone
• Total years of engineering experience
• Years of direct AI/ML production experience
• Clear summary of LLM production ownership (real systems, not research)
• Cloud and infrastructure stack details
• AI/MLOps tooling experience
• Team leadership scope
• Comp expectations and availability

Note: Research-only or prototype-level experience will not qualify. Submittals must clearly demonstrate production-scale AI/ML ownership in enterprise environments.