At Crusoe, our Production Engineering team ensures the reliability and scalability of Crusoe’s AI-optimized cloud platform. We’re looking for a Senior Production Engineer with a strong background in distributed systems and hands-on experience with large language models to help us build and operate managed AI services at scale. This role is central to delivering highly available, performant, and cost-efficient AI infrastructure that powers compute-intensive, latency-sensitive workloads for our customers.

Design and operate reliable managed AI services with a focus on serving and scaling LLM workloads

Build automation and reliability tooling to support distributed AI pipelines and inference services

Define, measure, and improve SLIs/SLOs across AI workloads to ensure performance and reliability targets are met

Collaborate with AI, platform, and infrastructure teams to optimize large-scale training and inference clusters

Automate observability by building telemetry and performance tuning strategies for latency-sensitive AI services

Investigate and resolve reliability issues in distributed AI systems using telemetry, logs, and profiling

Contribute to the architecture of next-generation distributed systems purpose-built for AI-first environments

What You’ll Bring:

Strong software engineering background — experience building production-grade systems beyond scripting or Bash

Demonstrated experience in distributed systems design and implementation

Hands-on work with large language models (LLMs) or AI/ML infrastructure

Senior Production Engineer

Responsibilities

Qualification

Preferred

Benefits

Company

Crusoe

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