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Safety Engineer

Unlock employer United Arab Emirates Posted: 13 Jul 2026

Financial

  • Estimate: $80k - $120k*
  • Zero income tax location

Accessibility

  • Fully Remote
  • Apply from abroad
  • No Relocation Support
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

About the Job:

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The company is an AI research and product company that is transforming how we interact with technology. Launched in January 2023, we are known for our first human-like AI voice model and currently serve millions of users and thousands of businesses, including Deutsche Telekom and Meta. With $781M in funding and a valuation of $11B, we are on an exciting growth trajectory.

Our company is structured around three main platforms:

  • ElevenAgents: Delivers seamless and intelligent customer experiences.
  • ElevenCreative: Empowers creators and marketers to generate and edit content across 70+ languages.
  • ElevenAPI: Provides developers access to leading AI audio foundational models.

Our team is a mix of researchers, engineers, and operators that embody creativity and commitment. If you seek to create a lasting positive impact, we want to hear from you.

Role Overview:

As a Safety Engineer, you will lead the deployment and operationalization of automated moderation and guardrail systems to protect our platforms. This product ownership role requires you to oversee the technical execution of safety systems from architecture to deployment and monitoring.

Key Responsibilities:

  • Design and build scalable backend infrastructure for content moderation and abuse detection.
  • Architect robust APIs, data pipelines, and service architectures supporting moderation workflows.
  • Implement monitoring and observability systems, establishing SLIs, SLOs, and performance benchmarks.
  • Collaborate with ML engineers to translate research models into production-ready systems.
  • Drive technical decisions and contribute to the safety roadmap for platform guardrails.

Requirements:

  • 6+ years of backend software engineering experience building production systems at scale.
  • Strong knowledge of distributed systems, APIs, data pipelines, and Python (asynchronous Python, backend frameworks).
  • Proficient in cloud platforms (AWS/GCP), containerization (Docker/K8s), and CI/CD pipelines.
  • Experience with monitoring tools (Prometheus, Grafana) and building observable systems.

Bonus Qualifications:

  • Experience in Trust & Safety, Content Moderation, or Integrity engineering.
  • Familiarity with MLOps, SQL, real-time streaming systems, and modern frontend frameworks.

This is an exciting opportunity to be part of a dynamic team that pushes the boundaries of AI.

Language Requirements: Proficiency in English is preferred, additional language skills are a plus.

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