The opportunity
We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being.
What you'll do
Independently scope and lead complex, multi-month infrastructure projects,: from an ambiguous starting point through to a production system
Develop monitoring systems to detect unwanted behaviors from our API partners: and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review
Stand up and run deployments of those monitoring systems across multiple: clouds, including inside cloud-provider partner environments where data residency laws apply. Keep the deployments consistent through shared deployment pipelines, smoke tests, observability, and alerting
Design and harden the sandboxed runtime that AI agents execute in: isolation, network egress controls, least-privilege data access, audit logging, and insider-risk controls
Manage cost and capacity for large volumes of long-running agent work, and: set and meet service-level objectives for the platform
Partner with the engineers and researchers who write and evaluate the: monitoring agents, and with security, privacy, and legal teams, so new detection work can ship quickly on a platform everyone trusts
What they're looking for
- Bachelor’s degree in Computer Science, Software Engineering or comparable experience
- Proficiency in Python, Distributed Systems, and Infrastructure as Code
- Have worked across multiple cloud providers, or built infrastructure designed to be provider-agnostic
- Have built and operated large-scale, distributed infrastructure, such as data: platforms, control planes, or job schedulers
