About the role

We're looking for an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems that protect our platform and users across a multimodal space, with a particular focus on detecting and preventing abuse of ElevenLabs' free tiers. You'll work alongside a team of ML and full stack engineers to build production-grade safety infrastructure from the ground up.

This is a product ownership role where you'll be responsible for end-to-end technical execution of our safety systems, from architecture to deployment and monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable.

What you'll do:

• 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.

Requirements

• 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 expertise (asynchronous Python, backend frameworks)
• 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

Bonus:

• Trust & Safety, Content Moderation, or Integrity engineering experience
• MLOps experience: deployment, monitoring, and versioning of ML models
• Experience with SQL, data analysis tools, real-time streaming systems (Kafka, Redis), or event-driven architectures
• Familiarity with React or modern frontend frameworks

Location

This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw.

#LI-remote

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.