Senior AI Safety Engineer - Real-Time Moderation & Scale

Jobicy; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Innovative culture

Growth opportunities

Learning & development

Annual company offsite

Monthly co-working stipend

Job summary

ElevenLabs is seeking an experienced AI Safety Engineer to deploy and operationalize automated moderation and guardrail systems across a multimodal space. You’ll work with ML and full-stack engineers to build production-grade safety infrastructure from the ground up.

This role focuses on end-to-end technical execution—from architecture to deployment and monitoring—bridging ML research and production systems to ensure robust, observable, scalable safety.

Qualifications

• Direct experience tackling free-tier abuse, fraud detection, or fake-account/bot farming at scale.
• 6+ years of backend software engineering experience building production systems at scale.
• Strong production backend experience: distributed systems, APIs, data pipelines, and Python (asynchronous) expertise.
• 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 alongside 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 on how the next generation of platform guardrails should be built for scale and precision.

Skills

Backend engineering

Abuse detection

Production systems

Python

Observability

Tools

Prometheus

Grafana

Docker

Kubernetes

AWS

Job description

ElevenLabs is seeking an experienced AI Safety Engineer to deploy and operationalize automated moderation and guardrail systems across a multimodal space. You’ll work with ML and full-stack engineers to build production-grade safety infrastructure from the ground up.

This role focuses on end-to-end technical execution—from architecture to deployment and monitoring—bridging ML research and production systems to ensure robust, observable, scalable safety.