- 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
- 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
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.
Skills Required
- 5+ years of experience as a backend engineer building production systems
- Strong Python or TypeScript skills
- Production experience with Docker, Kubernetes, and cloud infrastructure; AWS preferred
- Experience designing distributed systems and message queues
- Track record of owning systems from design through production
- High autonomy in undefined problem spaces
- Fluent written and spoken English
- Hands-on AI engineering experience with LLMs, agents, or evaluations
- Background in security, red teaming, or trust and safety
What We Do
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact - whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice represents the next chapter of our growth and the natural evolution of ActiveFence, our industry-leading solution for UGC safety, as we expand our mission to secure the future of AI. Advance unafraid: alice.io
