LLM Operations Engineer.

LLM operations deals with unique challenges: much larger model sizes (billions of parameters), specialized hardware requirements (multi-GPU inference), different evaluation methodologies (human preference, automated rubrics), prompt management as a deployment artifact, and cost optimization at a different scale. Traditional MLOps skills transfer, but LLM-specific expertise is additionally required.

Core tools include vLLM, TGI, or TensorRT-LLM for inference serving, along with observability platforms like LangSmith or Weights and Biases. Knowledge of Kubernetes for GPU orchestration, model registries, and A/B testing frameworks for model versions is essential. Cost monitoring and optimization tooling specific to GPU workloads is also important.

Ask about equity structure, vesting schedule, annual bonus targets, 401(k) match, health insurance premiums, PTO policy, and remote flexibility. Equity at AI infrastructure companies adds $25,000 to $80,000 annually. In Princeton's market, these extras can add $44,000 or more on top of the base salary.

Compensation scales with expertise in deploying, monitoring, and optimizing large language models in production. Engineers who can manage inference costs, implement model routing, and maintain quality at scale earn premiums. Experience with quantization, batching strategies, and multi-model serving infrastructure is particularly valuable. In Princeton, these factors can push compensation from the 25th percentile of $137,000 to the 75th percentile of $219,000 or beyond.

Princeton's economy is driven by the university, pharmaceutical companies, and research institutions. Bristol-Myers Squibb, NRG Energy, and numerous biotech firms create strong demand for research and engineering talent. For LLM Operations Engineers specifically, the median salary of $176,000 reflects that demand.

Remote work has compressed geographic salary premiums for LLM Operations Engineers. Some Princeton employers offer location adjusted pay, while others maintain local rates to attract in office talent. In Princeton's moderate cost market, remote and local salaries are converging. The $137,000 to $219,000 range reflects both arrangements.

Princeton's economy is driven by the university, pharmaceutical companies, and research institutions. Bristol-Myers Squibb, NRG Energy, and numerous biotech firms create strong demand for research and engineering talent. For LLM Operations Engineers specifically, compensation scales with expertise in deploying, monitoring, and optimizing large language models in production, which signals sustained demand. The current compensation range of $137,000 to $219,000 reflects a market that is competing for talent.