Description - Build and maintain production-grade frontend and backend systems that power our AI platform - Own features end-to-end: design → implement → deploy → monitor → improve - Build observability and monitoring across the stack (Coralogix, OpenTelemetry, or similar) - Partner with the AI and data teams to deliver platform capabilities that support multi-agent systems - Help establish engineering best practices; drive code quality, reviews, and standards - Move fast using AI coding tools - Claude Code, Cursor or similar Requirements - 5+ years as a backend engineer, building production systems - Strong Python/ TS, and production experience with Docker, Kubernetes, and cloud infrastructure (AWS preferred) - Experience designing distributed systems and message queues - A track record of owning systems from design to production - High autonomy in an undefined space. You take a loose problem and come back with working code - Fluent written and spoken English Advantage - Hands-on AI engineering: building with LLMs, agents, or evaluations - Background in security, red teaming, or trust and safety About Alice ActiveFence is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world’s largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, ActiveFence empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, ActiveFence enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.
Summary
Builds and maintains production-grade frontend and backend systems for an AI platform, owning features end-to-end from design to deployment. Requires 5+ years as a backend engineer with strong Python/TS, Docker, Kubernetes, AWS, and experience designing distributed systems and message queues; fluent English required.
Responsibilities
Build and maintain production-grade frontend and backend systems; own features end-to-end; build observability and monitoring; partner with AI and data teams; establish engineering best practices
Qualifications
5+ years as a backend engineer building production systems; strong Python/TS, Docker, Kubernetes, AWS; experience designing distributed systems and message queues; high autonomy
Experience requirements
5+ years as a backend engineer, building production systems; track record of owning systems from design to production