MLOps Engineer, LLM Systems (Serving, GPU Kernels, Profiling)
Mercor
$90 – $120/hour · as listed
Mercor is seeking an advanced MLOps Engineer to support large language model systems, focusing on serving infrastructure, GPU kernel optimization, and performance profiling. You'll work on the operational and infrastructure layer that keeps LLM deployments running efficiently, troubleshooting bottlenecks and fine-tuning compute performance. This role suits experienced engineers comfortable with low-level system work, GPU programming, and the automation challenges specific to AI model serving at scale.
The position is remote within the USA, offered as an hourly contract role at $90–$120/hour, with an expected 40-hour weekly commitment. You'll be embedded in a GenAI-focused team building foundational large language models, giving you direct exposure to production AI systems and the infrastructure decisions that power modern LLMs.
From the listing: Mercor marketplace · hourly · 40h/week. Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. # 1\. Overview Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking MLOps Engineers with hands-on experience in large language model infrastructure acro
Applications are completed on the listing’s own site. Pay is shown as posted by the source (“as listed”) or the aggregator’s estimate where marked — offers and availability change, and individual results vary.
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