ML Infrastructure Engineer
Clera
Remote, Worldwide
About the Role
We're a seed-stage enterprise AI infrastructure company building the context layer that makes AI agents reliable, accurate, and secure for critical business operations — including highly regulated industries like insurance, banking, asset management, and healthcare. Our platform automatically constructs a governed, real-time domain model across all enterprise data, enabling AI agents to make confident, auditable decisions in production.
As an ML Infrastructure Engineer , you'll own the systems that keep our agents running reliably and fast at scale. This is a hands-on production engineering role — focused on real-world impact, not research. You'll design, build, and scale our inference and model-serving infrastructure as concurrency and customer demands grow.
What You'll Do
Own inference and model-serving infrastructure end to end — from initial design through production deployment and ongoing scaling.
Build and scale systems that enable AI agents to run reliably and efficiently under high and increasing concurrency.
Identify and resolve infrastructure bottlenecks in collaboration with ML and platform engineering teams.
Optimize systems for latency,...
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