AI Safety Engineer - Scalable Moderation & Guardrails

ElevenLabs; New York (NY); Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Innovative culture

Growth opportunities

Learning stipend

Social travel stipend

Annual offsite

Co-working stipend

Job summary

ElevenLabs is seeking an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems across a multimodal space, with a focus on detecting abuse of free tiers. You’ll work with ML and full stack engineers to build production-grade safety infrastructure from the ground up.

This product ownership role covers end-to-end execution from architecture to deployment and monitoring, ensuring robustness, observability, and scalability of

Qualifications

• 6+ years of backend software engineering experience.
• Experience tackling free-tier abuse, fraud detection, or bot farming at scale.
• Strong production backend experience: APIs and data pipelines.
• Infra/DevOps proficiency: AWS/GCP, Docker/K8s, CI/CD.
• Observability mindset with monitoring tools (Prometheus, Grafana).
• Experience deploying ML/AI systems in production.

Responsibilities

• Design and build scalable backend infrastructure for abuse detection, deploying AI/ML models into production systems.
• Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows.
• Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks.
• Partner with ML engineers to translate research models into production-ready systems and integrate them across our product suite.
• Drive technical decisions and contribute vision to the safety roadmap for scale and precision.

Skills

Backend engineering

Python

Distributed systems

DevOps / CI-CD

Observability

Tools

AWS

GCP

Docker

Kubernetes

Prometheus

Grafana

Kafka

Job description

ElevenLabs is seeking an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems across a multimodal space, with a focus on detecting abuse of free tiers. You’ll work with ML and full stack engineers to build production-grade safety infrastructure from the ground up.

This product ownership role covers end-to-end execution from architecture to deployment and monitoring, ensuring robustness, observability, and scalability of