AI Infrastructure Engineer

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What You’ll Do

• Own critical services end-to-end—from architecture and design reviews through deployment, observability, and SLOs.
• Scale LLM-driven workloads : build retrieval-augmented generation pipelines, vector indexes, and evaluation harnesses that handle billions of events per day.
• Design data-intensive systems : streaming ETL, columnar storage, and time-series analytics that feed our self-healing algorithms.
• Optimize for cost & latency across CPUs, GPUs, and serverless runtimes; profile hot paths and squeeze every millisecond.
• Champion reliability : automate testing, chaos drills, and progressive delivery so new models roll out safely.
• Collaborate cross-functionally with ML researchers, product engineers, and customers to ship features that matter.

Qualifications

Bonus Points

Tackling the challenges of such a vast and complex industry is an enormous undertaking. We've raised a Series A funding and are backed by leading investors who share our vision to help us on this journey.

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