AI Full-stack Engineer

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.