ActiveFence is a leading platform for Trust & Safety teams worldwide, leveraging cutting-edge AI and world-class expertise to protect users from the widest spectrum of online harms. By continuously collecting and analyzing data, our solutions ensure customers stay two steps ahead of bad actors in an ever-changing threat landscape. As we expand our generative AI initiatives to enhance online safety, we’re seeking an outstanding MLOps and Automation Engineer to join our GenAI research team . In this role, you’ll build and scale the systems powering our large-scale, AI-driven content moderation and generative model deployments, enabling real-time protection for billions of users. Key Responsibilities
* Build and maintain CI/CD pipelines that support fast, reliable integration and deployment of GenAI systems across complex environments, such as AI agents and MCP clients/servers.
* Develop and deploy AI solutions and agentic frameworks, creating both command-line tools and interactive notebooks that support our team’s research and automation needs.
* Build and manage data pipelines and databases (SQL) for large-scale data handling, including collecting and curating datasets (e.g. adversarial prompts for model red-teaming) to support AI training and evaluation.
* Integrate research into production by implementing the latest generative AI advancements (including white-box LLM development) and developing evaluation frameworks (for example, agentic reasoning tests) as part of our automation workflow.
About ActiveFence:
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.
Requirements: Must
* B.Sc. in Computer Science, Computer Engineering, or a related field (or equivalent hands-on experience.
* 5+ years of experience managing large-scale, high-performance cloud infrastructure in AWS in production environments.
* Expertise in scripting and automation using Python and shell. Proven ability to write clean IaC and CI/CD pipelines.
* Strong understanding of Linux systems, networking, and distributed system design.
* Ability to break down monolithic systems into scalable, loosely coupled services and microservices.
* Strong cross-functional communication and collaboration skills, with a DevOps mindset to drive best practices across teams.
* Hands-on experience deploying and scaling generative AI models (e.g. large language models or other AI/ML models) in production.
* Hands-on experience with deploying MCP clients/servers Nice-to-Have
* M.Sc. in Computer Science, Computer Engineering, or a related field.
* Experience with large-scale cluster management or HPC scheduling tools (e.g. Slurm).
* Knowledge of advanced observability and monitoring tools such as Prometheus and Grafana.
* Experience with cloud cost optimization (FinOps concepts) and exposure to infrastructure security tools or configuration management for compliance.
* Hands-on experience working with A2A protocol.
This position is open to all candidates.