Quick overview
Job description
About the Role
Join the platform team at an AI company building document processing technology. You will strengthen the systems that run customer workloads, helping ensure they are fast, reliable, and cost-efficient as usage grows.
What You'll Do
Own and improve the core platform that runs document processing jobs, focusing 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 infrastructure for databases, task orchestration, workload scheduling, and cloud deployments.
Address latency, reliability, and scaling challenges across distributed systems as workload volume grows.
Participate in on-call rotations and take end-to-end responsibility for 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 expertise in Go or Rust and willingness to switch.
Experience with on-call responsibilities, cloud infrastructure, and optimizing model serving.
Background in a startup or fast-growing technology company, or demonstrated senior-level scope and progression 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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