Remote AI Safety Engineer – Scalable Moderation

ElevenLabs; Dublin; Remote; EUR 120,000 - 180,000; Full time

Job summary

ElevenLabs is seeking an experienced AI Safety Engineer to drive deployment and operationalization of automated moderation and guardrail systems across a multimodal platform. You will collaborate with ML and full‑stack engineers to build safety infrastructure from the ground up, focusing on the free tiers abuse detection and scalable production readiness.

You will own end-to-end technical execution from architecture to monitoring, bridging ML research with robust, observable systems, and

Qualifications

• 6+ years of backend software engineering experience building production systems at scale.
• Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise.
• Infrastructure & DevOps: cloud platforms (AWS/GCP), containerization (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 scalable guardrails.

Skills

Backend development

Python (async)

Distributed systems

ML/AI in production

API design

Observability

Free-tier abuse detection

Security & safety

Tools

Docker

Kubernetes

AWS/GCP

Prometheus

Grafana

Job description

ElevenLabs is seeking an experienced AI Safety Engineer to drive deployment and operationalization of automated moderation and guardrail systems across a multimodal platform. You will collaborate with ML and full‑stack engineers to build safety infrastructure from the ground up, focusing on the free tiers abuse detection and scalable production readiness.

You will own end-to-end technical execution from architecture to monitoring, bridging ML research with robust, observable systems, and