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ElevenLabs

Safety Engineer – Back-End Leaning

ElevenLabs

. Design, develop, and scale automated moderation systems, abuse detection capabilities, and guardrails for AI agents across ElevenLabs’ products .

Posted 10/14/2026full-timeRemote • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in backend engineering, including API design, distributed systems, and cloud-based applications, while effectively collaborating with cross-functional teams to implement safety policies and scalable engineering solutions. Proficient in deploying and integrating ML models into production systems and building trust and safety infrastructure for AI applications.

Highest-signal resume keywords
Backend EngineeringAPI DesignPython ProficiencyTrust & Safety SystemsML Model Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Backend EngineeringAPI DesignPythonDistributed SystemsCloud-Based ApplicationsReal-Time Data ProcessingEvent-Driven ArchitecturesMonitoring ToolsObservability ToolsFrontend Development
Soft Skills
Problem-SolvingCollaboration
Tools & Technologies
KubernetesDockerCI/CD PipelinesAWSGCPPrometheusGrafanaReactKafkaRedis
Industry Keywords
Content ModerationAbuse PreventionSafety InfrastructureAI AgentsLLM-Based Applications

Tech Stack

Tools & technologies
AWSCloudDistributed SystemsDockerGoogle Cloud PlatformGrafanaKafkaKubernetesPrometheusPythonReactRedis

About the role

Key responsibilities & impact
  • Design, develop, and scale automated moderation systems, abuse detection capabilities, and guardrails for AI agents across ElevenLabs’ products
  • Partner with the Investigations team to identify emerging abuse patterns and evolving threats
  • Continuously improve safety systems, detection mechanisms, and guardrails to address new risks
  • Build and maintain internal safety services, owning architecture, deployment, reliability, monitoring, and ongoing operation
  • Deploy and integrate fine-tuned and proprietary ML models into production safety systems
  • Develop backend services, APIs, internal tools, and user-facing interfaces for moderation, safety operations, and policy enforcement
  • Collaborate with Product, Legal, and Safety Policy teams to translate business, regulatory, and policy requirements into scalable engineering solutions
  • Balance product growth, user experience, and platform safety
  • Translate legal and regulatory requirements into practical safety systems
  • Help implement safety policies technically and inform policy decisions through engineering expertise
  • Contribute to architectural decisions and define the evolution of safety infrastructure

Requirements

What you’ll need
  • 5+ years of software engineering experience building and operating production systems
  • Strong backend engineering experience, including designing APIs, working with databases, and building scalable services
  • Proficiency in Python and experience with modern backend frameworks
  • Experience building and maintaining distributed systems and cloud-based applications
  • Comfortable owning systems end to end, from technical design and implementation through deployment, monitoring, and ongoing maintenance
  • Experience working across different parts of the stack, with the ability to build internal tools or frontend interfaces when needed
  • Strong problem-solving skills and ability to navigate ambiguous requirements and make pragmatic engineering decisions
  • Ability to collaborate effectively with engineers and non-technical stakeholders across different functions
  • 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 AWS/GCP
  • Experience with monitoring and observability tools such as Prometheus and Grafana
  • Experience with React or other modern frontend frameworks
  • Experience with real-time data processing, event-driven architectures, Kafka, and Redis

Benefits

Comp & perks
  • Annual discretionary professional development stipend
  • Annual discretionary stipend to meet up with colleagues each year
  • Annual company offsite
  • Monthly co-working stipend for employees not located near a main hub
  • Option to work from ElevenLabs offices in London, New York, San Francisco, and Warsaw