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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. We’re seeking an outstanding Backend Engineer with a Generative AI orientation to join our research team. We are building a new AI Platform from scratch to standardize AI development methods, ensure excellence and efficiency, and deliver robust, scalable, and compliant AI capabilities. This platform will handle GenAI models deployment, prompt management, data filtering, logging, and monitoring, centrally, so individuals can focus on their own business-specific logic. Key Responsibilities
* Build and maintain CI/CD pipelines that support fast, reliable integration and deployment of GenAI systems across complex environments, including orchestrating multiple models/agents and MCP clients/servers.
* Develop, deploy and integrate AI solutions and agentic frameworks, creating both command?line tools and interactive notebooks that support our team’s research and workflow automation needs.
* Build and manage data pipelines and databases (SQL) for large?scale data handling, automating data collection and curation (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), integrating different models and agents, and developing evaluation frameworks (e.g., agentic reasoning tests) as part of our automated workflows.
* Deploy GenAI models from repositories such as HuggingFace onto our AWS platform, connect them to data pipelines, and automate end?to?end processes for prompt generation, labeling, and response evaluation.


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.

What We Are Looking For As a VP of AI Security Research you will lead, scale, and inspire multi-disciplinary teams focused on red teaming, sandboxing, adversarial testing, developing red-teaming engines, and guardrail protections for GenAI models and agentic AI systems. In this high-profile role, you will work closely with security research, product, engineering, and compliance teams to shape and deliver the next generation of AI cybersecurity solutions, while combining strategic vision with execution to effectively safeguard LLMs and agentic AI deployments at scale. Key Responsibilities
* Building and scaling global AI security teams, while providing mentorship to senior managers and fostering an innovation-driven security culture.
* Overseeing advanced adversarial evaluations for GenAI models, agentic AI, and multi-agent (A2A) systems, and delivering executive-level threat intelligence and risk assessments to inform corporate AI strategy.
* Defining and implementing AI red-teaming frameworks aligned with OWASP AI Security guidelines, MITRE ATLAS, and NIST AI RMF, and operationalizing automated red-team engines to continuously stress- TEST models at scale.
* Partnering with product and engineering to design and deploy enterprise-ready AI guardrails, including policy enforcement layers, monitoring pipelines, and anomaly detection systems and championing secure deployment practices for GenAI (including agent orchestration via MCP and A2A workflows).
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 worlds 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.
Hybrid:
Yes

We are seeking a highly motivated and skilled Cloud Security Engineer to join our growing team. In this critical role, you will be responsible, among other things, for ensuring the security of our cloud environments and applications throughout their entire lifecycle. You will work closely with R&D, DevOps, and other teams to embed security into every stage of the development process, from design and development to deployment and operations. Responsibilities
* Design & implement secure cloud architectures, configurations across AWS
* Ensure compliance with relevant security standards (e.g. ISO 27001, SOC 2, GDPR).
* Participate in design & implementation of security technical controls for cloud-native services
* Work closely with R&D, DevOps to integrate security into the software development lifecycle.
* Participate in security reviews of code, infrastructure, and designs. Advocate for and implement security best practices throughout the development process.
* Monitor cloud environments for security threats, including malware, vulnerabilities, and suspicious activity. Investigate and respond to security incidents within cloud environments.
* Implement and maintain security information and event management ( SIEM ) integration for cloud environments in cooperation with SecOps & InfoSec.
* Conduct regular security assessments and ownership on the penetration testing of cloud environments, applications, Infrastructure-as-Code. Implement and maintain vulnerability scanning and remediation processes.
* Experience implementing and managing CSPM and CNAPP RunTime tools to continuously monitor and assess the security posture of cloud environments.
* Open Source Security - Understand and address security risks associated with the use of open-source software. Stay informed about and mitigate vulnerabilities in open-source components.
* Work closely with R&D, DevOps, other stakeholders to ensure security is integrated into all phases of the software development lifecycle. Communicate security risks and recommendations effectively to both technical and non-technical audiences.
Hybrid:
Yes.

Our commitment is to significantly reduce the influence of bad actorssuch as extremists, child predators, and otherson society through online platforms. This mission drives our daily efforts. We are dedicated to combating some of the most pressing issues of our era and are seeking skilled, passionate professionals to join us in this endeavor. As a Webint Analyst on our Mobile team, you will leverage your expertise in internet and mobile applications (both Android and IOS ), online resourcefulness, diverse interests, technical skills, and hacker-like mindset to solve puzzles and lawfully access hard-to-find open-source data from the deep web. You have a passion for discovering information online and within mobile apps, and you are relentless in your pursuit of answers. You are adept with data, thrive in a highly technical environment, and excel in high-stakes situations. You enjoy working on multiple topics simultaneously and are eager to learn new things.
Among the day-to-day tasks:
* Monitoring dark web sources, external websites, forums, and messaging app channels to identify malicious activities.
* Conducting in-depth research on mobile apps, policies, and mitigations to detect threats to users, platforms, or mobile devices.
* Analyzing extensive data sets of apps to extract valuable insights.
* Compiling research findings and insights into comprehensive intelligence reports.