Safety Engineer

You will design, build, deploy, and monitor scalable safety infrastructure for content moderation, abuse detection, and agent guardrails. You will create APIs, data pipelines, and service architectures for real-time and batch workflows, establish observability and performance standards, and translate ML research into robust production systems.

Responsibilities

• Design and build scalable backend infrastructure for content moderation, abuse detection, and agent guardrails
• Deploy AI and ML models into production systems
• Architect APIs, data pipelines, and service architectures for real-time and batch moderation workflows
• Implement monitoring, alerting, and observability systems
• Establish SLIs, SLOs, and performance benchmarks
• Partner with ML engineers to translate research models into production-ready systems
• Drive technical decisions and contribute to the safety roadmap

Requirements

• 6+ years of backend software engineering experience building production systems at scale
• Experience with distributed systems, APIs, data pipelines, and Python
• Experience with asynchronous Python and backend frameworks
• Proficiency with cloud platforms such as AWS or GCP
• Proficiency with containerization tools such as Docker or Kubernetes
• Experience with CI/CD pipelines
• Experience with monitoring tools such as Prometheus and Grafana
• Experience deploying or working alongside ML or AI systems in production

Benefits

• Annual discretionary professional development stipend
• Annual discretionary social travel stipend
• Annual company offsite
• Monthly co-working stipend for employees not near a main hub