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Safety Engineer (Backend Leaning)

Backend Full-time Worldwide

Job details

Not specified Salary
Worldwide Eligibility
Not specified Experience
Full-time Employment

About this role

Role overview Build backend-led safety systems that help detect abuse, support moderation, and apply guardrails to AI agents. The work spans production services, model integration, internal tools, and interfaces for safety operations. You will partner with engineering, investigations, product, legal, and policy colleagues to respond to changing threats and turn operational or regulatory needs into dependable technical controls.

Responsibilities - Design and scale automated moderation, abuse detection, and AI-agent guardrail systems. - Investigate emerging abuse patterns with safety investigators and improve detection mechanisms in response. - Own safety services through architecture, deployment, monitoring, reliability, and ongoing operation. - Integrate machine-learning models into production systems in partnership with ML engineers. - Build backend services, APIs, internal tools, and interfaces that support moderation and policy enforcement. - Work across product, legal, and safety policy teams to translate requirements into engineering solutions and inform technical direction.

Requirements - At least five years of experience building and operating production software systems. - Strong backend skills, including API and database design and scalable service development. - Proficiency in Python and experience with modern backend frameworks. - Experience with distributed systems and cloud applications. - Ability to own systems end to end, from design and implementation through deployment, monitoring, and maintenance. - Comfort working across the stack, solving ambiguous problems, and collaborating with technical and non-technical partners.

Nice to have - Experience in trust and safety, moderation, fraud detection, abuse prevention, or AI-agent guardrails. - Experience deploying ML models, or with Kubernetes, Docker, CI/CD, AWS or GCP, and observability tools such as Prometheus or Grafana. - Familiarity with React, real-time processing, event-driven systems, Kafka, or Redis.

Benefits and work setup - Remote work is available globally, with optional offices in London, New York, San Francisco, and Warsaw. - A discretionary annual professional development stipend and a monthly coworking stipend for those outside the main hubs. - An annual stipend for meeting colleagues and a yearly team offsite.

Skills detected in the listing

ReactPythonStakeholder ManagementAWSGCPDockerKubernetesLLM
Detected Nov 2, 2026
Last verified Nov 2, 2026

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