AI Field Engineer - AI Infrastructure
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Role details
Tech stack
Requirements
5-10 years in customer-facing ML/AI engineering (FDE, Applied AI, or Solutions Engineering) as a senior IC; strong Python; experience with LLM inference/fine-tuning and GPU infrastructure; ability to code and engage clients simultaneously.
Benefits & conditions
$176K-$228K base (USD), $220K-$285K OTE (80/20), competitive equity. H-1B/TN sponsored; O-1 case-by-case.
About the company
Our client is a very well-funded AI-infrastructure company (~210 people, founded 2021, $327M raised) - the fastest way to build, tune, and scale AI on open models, delivering large speed, latency, and concurrency advantages over closed models. AI Field Engineers are the technical tip of the spear: you embed with the most ambitious AI-native customers to turn complex AI problems into production systems, fast (~60% hands-on coding/deployment, ~40% client engagement + product feedback).
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