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ElevenLabs is a $22B-valued AI research and product company founded in January 2023, now serving millions of users and thousands of businesses including Deutsche Telekom and Meta. The company has raised $781M from top-tier investors including Andreessen Horowitz, ICONIQ Growth, and Sequoia.
You will join the Safety team as a backend-focused Safety Engineer, responsible for designing, developing, and scaling automated moderation systems, abuse detection capabilities, and guardrails for AI agents across ElevenLabs' three main platforms: ElevenAgents (customer-facing voice/chat agents), ElevenCreative (speech, music, image, and video generation), and ElevenAPI (developer access to AI audio models).
Key responsibilities include:
- Design and build automated safety systems, abuse detection, and guardrails for AI agents
- Partner with the Investigations team to identify emerging abuse patterns and continuously improve detection mechanisms
- Own production infrastructure for internal safety services, including architecture, deployment, reliability, monitoring, and operations
- Collaborate with ML engineers to deploy fine-tuned and proprietary ML models into production safety systems at scale
- Develop backend services, APIs, internal tools, and user-facing interfaces for moderation and policy enforcement
- Work cross-functionally with Product, Legal, and Safety Policy teams to translate business, regulatory, and policy requirements into scalable engineering solutions
- Contribute to architectural decisions and shape how safety infrastructure evolves
ElevenLabs operates with a high-velocity, impact-driven culture emphasizing rapid experimentation, lean autonomous teams, minimal bureaucracy, and AI-first approaches. The company values excellence across all work and prioritizes talent over location. You'll have access to professional development stipends, annual company offsites, and co-working stipends if not near a main hub.
REQUIREMENTS:
- 5+ years of software engineering experience building and operating production systems
- Strong backend engineering experience: designing APIs, working with databases, building scalable services
- Proficiency in Python and modern backend frameworks
- Experience building and maintaining distributed systems and cloud-based applications
- Comfortable owning systems end-to-end: technical design, implementation, deployment, monitoring, maintenance
- Experience working across the stack, including building internal tools or frontend interfaces when needed
- Strong problem-solving skills and ability to navigate ambiguous requirements with pragmatic engineering decisions
- Ability to collaborate effectively with engineers and non-technical stakeholders
BONUS QUALIFICATIONS:
- Experience building Trust & Safety, content moderation, fraud detection, or abuse prevention systems
- Experience building guardrails or safety infrastructure for AI agents and LLM-based applications
- Experience deploying and integrating ML models into production applications
- Familiarity with Kubernetes, Docker, CI/CD pipelines, and cloud infrastructure (AWS/GCP)
- Experience with monitoring and observability tools (Prometheus, Grafana)
- Experience with React or modern frontend frameworks
- Experience with real-time data processing, event-driven architectures, Kafka, or Redis
