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
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Own and improve the platform that runs document processing jobs, ensuring speed, reliability, and cost efficiency as usage grows.
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Partner with machine learning engineers to serve in-house models efficiently and integrate them into production workflows.
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Build and maintain infrastructure for databases, task orchestration, workload scheduling, and cloud deployments.
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Improve distributed systems by addressing latency, reliability, and scaling challenges.
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Participate in an on-call rotation and take end-to-end ownership of platform health.
What We're Looking For
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At least 5 years of platform or backend engineering experience, including distributed systems work.
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Experience building and scaling core infrastructure, task orchestration, and reliable platforms.
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Application-level engineering experience in addition to infrastructure work.
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Proficiency in Python, or deep Go or Rust experience and willingness to work in Python.
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Experience with on-call operations, cloud infrastructure, and optimizing model serving.
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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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