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.