AI Platform Engineer

Strong proficiency in Python for production software.

Proficiency with Jupyter Notebook or an equivalent environment (e.g., JupyterLab, Databricks, Colab, etc.).

Demonstrated experience building, integrating, and operating LLM‑powered features/services.

Ability to decompose ambiguous problems, write clear technical plans, and execute with high ownership.

Experience designing for reliability, scalability, and observability in production systems.

You leverage AI Agents for day-to-day efficiency.

Terraform and Helm Charts for infrastructure and deployment.

Google Cloud Platform (e.g., GKE, Cloud Run, Cloud Storage).

Typescript for service or UI integrations.

Postgres for application data modeling and performance.

Experience with ML/AI platforms, agents, or orchestration frameworks.

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We value in-person collaboration and connection. For Bay Area–based employees, this role requires being in our San Mateo office at least three days a week. For remote employees, occasional travel to headquarters is expected for company-wide events and onsite gatherings.

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