Software Engineer (AI Safety)

Location: Remote globally; optional offices in London, New York, San Francisco, and Warsaw

Company

ElevenLabs is an AI research and product company building voice, creative media, AI agent, and AI audio platforms.

What you will do

• Design, develop, and scale automated moderation systems, abuse detection capabilities, and guardrails for AI agents across ElevenLabs products.
• Identify emerging abuse patterns with the Investigations team and improve safety systems, detection mechanisms, and guardrails.
• Own the architecture, deployment, reliability, monitoring, and operation of internal safety services.
• Deploy and integrate fine-tuned and proprietary ML models into production safety systems in partnership with ML engineers.
• Build backend services, APIs, internal tools, and user-facing interfaces for moderation, safety operations, and policy enforcement.
• Translate product, legal, regulatory, and safety-policy requirements into scalable engineering solutions and contribute to technical direction.

Requirements

• 5+ years of software engineering experience building and operating production systems.
• Strong backend engineering experience 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.
• Ability to own systems end to end, from technical design and implementation through deployment, monitoring, and maintenance.
• Experience across different parts of the stack, including building internal tools or frontend interfaces when needed.
• Strong problem-solving skills, pragmatic decision-making, and ability to navigate ambiguous requirements.
• Ability to collaborate with engineers and non-technical stakeholders across different functions.

Nice to have

• 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 or GCP cloud infrastructure.
• Experience with Prometheus, Grafana, or other monitoring and observability tools.
• Experience with React or other modern frontend frameworks.
• Experience with real-time data processing, event-driven architectures, Kafka, or Redis.

Culture & Benefits

• Remote-first work with the option to work from company offices in London, New York, San Francisco, or Warsaw.
• High-velocity environment with rapid experimentation, lean autonomous teams, and minimal bureaucracy.
• Annual discretionary stipend for professional development and learning.
• Annual discretionary stipend for meeting colleagues and an annual company offsite.
• Monthly co-working stipend for employees who are not located near a main hub.
• AI-first culture focused on technical excellence, impact, and innovative work.