AI Safety Engineer: Free-Tier Abuse Mitigation (Remote)

Tanqeeb; Abu Dhabi; On-site; AED 514,000 - 698,000; Full time

Benefits offered by this job

Travel stipend

Offsite trips

Learning stipend

Co-working stipend

Remote-friendly

Job summary

ElevenLabs is seeking an experienced AI Safety Engineer to lead the deployment and operation of automated moderation and guardrails across a multimodal platform. You will work with ML and full-stack engineers to build production-grade safety infra from the ground up.

This product ownership role spans architecture, deployment, and monitoring, bridging ML research and scalable systems to protect users and platform integrity.

Qualifications

• 6+ years of backend software engineering experience building production systems at scale.
• Experience tackling free-tier abuse, fraud detection, or bot farming at scale.
• Strong Python backend experience: asynchronous Python, backend frameworks.
• Infrastructure & DevOps: cloud platforms (AWS/GCP), Docker/K8s, CI/CD pipelines.
• Observability mindset with experience in monitoring tools (Prometheus, Grafana).
• Track record of taking products or systems from 0→1 with ML/AI 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

Distributed systems

APIs

CI/CD

Observability

ML production

Cloud platforms

Tools

Prometheus

Grafana

Docker

Kubernetes

AWS

GCP

Kafka

Redis

React

Job description

ElevenLabs is seeking an experienced AI Safety Engineer to lead the deployment and operation of automated moderation and guardrails across a multimodal platform. You will work with ML and full-stack engineers to build production-grade safety infra from the ground up.

This product ownership role spans architecture, deployment, and monitoring, bridging ML research and scalable systems to protect users and platform integrity.