Quick overview
Job description
About the Role
Join the platform team at an AI company building document processing systems. You will strengthen the infrastructure behind customer workloads, focusing on reliability, performance, efficient model serving, and cost management.
What You'll Do
Own and improve the platform that runs document processing jobs, with a focus on speed, reliability, and cost efficiency.
Partner with machine learning engineers to serve in-house models efficiently and integrate them into production pipelines.
Build and maintain databases, task orchestration, workload scheduling, and cloud deployments.
Improve distributed systems to address latency, reliability, and scaling challenges as usage grows.
Participate in on-call rotations and take end-to-end ownership of platform health.
What We're Looking For
At least 5 years of platform or backend engineering experience, including work with distributed systems.
Experience building and scaling core infrastructure, task orchestration, and reliable platforms.
Application-level engineering experience in addition to infrastructure work.
Proficiency in Python, or deep Go or Rust expertise and willingness to work in Python.
Experience with on-call rotations, cloud infrastructure, and model-serving optimization.
Startup experience or a track record of strong technical growth and ownership in a larger organization.
Compensation & Benefits
Base salary: $220,000 to $320,000 annually. Visa sponsorship is available. Equity details were not provided.
Location
On-site in San Francisco, California, United States.
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