Remote AI Safety Engineer: Free Tier Abuse Guardrails

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

Job summary

ElevenLabs is seeking an experienced AI Safety Engineer to design and deploy scalable moderation and guardrail systems across a multimodal platform. You’ll work with ML and frontend/backend teams to build production-grade safety infrastructure from architecture through deployment and monitoring.

You will bridge ML research and production systems, ensuring robust, observable, and scalable safety features while protecting free tiers from abuse across the platform.

Qualifications

• 6+ years of backend software engineering experience building production systems at scale.
• Experience tackling free-tier abuse, fraud detection, or fake accounts/bot farming.
• Strong production backend experience: distributed systems, APIs, data pipelines, Python (asynchronous)
• Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines
• Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems
• Track record of taking products or systems from 0→1 with measurable impact, including deploying or working with 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 to the safety roadmap for scale and precision

Skills

Backend engineering

Python

APIs design

Distributed systems

Cloud platforms (AWS/GCP)

Docker/Kubernetes

CI/CD

Observability (Prometheus/Grafana)

ML/AI production systems

Safety/Moderation domain knowledge

Tools

Docker

Kubernetes

AWS

GCP

Job description

ElevenLabs is seeking an experienced AI Safety Engineer to design and deploy scalable moderation and guardrail systems across a multimodal platform. You’ll work with ML and frontend/backend teams to build production-grade safety infrastructure from architecture through deployment and monitoring.

You will bridge ML research and production systems, ensuring robust, observable, and scalable safety features while protecting free tiers from abuse across the platform.