Quick overview
Job description
About the Role
Join a small platform team at an AI company building document processing systems. You will strengthen the core platform that runs customer workloads, with a focus on performance, reliability, and cost efficiency.
What You'll Do
Own and improve the platform that runs document processing jobs, ensuring speed, reliability, and cost efficiency as usage grows.
Partner with machine learning engineers to serve in-house models efficiently and integrate them into production workflows.
Build and maintain infrastructure for databases, task orchestration, workload scheduling, and cloud deployments.
Improve distributed systems by addressing latency, reliability, and scaling challenges.
Participate in an on-call rotation 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 distributed systems work.
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 experience and willingness to work in Python.
Experience with on-call operations, cloud infrastructure, and optimizing model serving.
Background in a startup or demonstrated senior-level growth and ownership in a larger organization.
Compensation & Benefits
Base salary: $220,000 to $320,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California, United States.
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