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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

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.

We are looking for a talented Automation Engineer to join our team.
As a team, we are focused on delivering high-quality, scalable infrastructure and backend features.
In this role, youll be responsible for developing and maintaining automation tests and infrastructure, while also contributing to MANUAL QA efforts when needed. Youll collaborate closely with developers, product managers, and QA professionals to ensure the reliability and performance of our systems.
What Youll Do:
Develop and maintain automation tests and infrastructure to support backend and data -intensive features. Be responsible for performance, system, and correctness tests for the team. Expand automation TEST coverage across multiple components and environments. Participate in manual testing efforts when needed, especially during regression cycles or critical releases. Collaborate with developers, product managers, and other QA engineers to ensure seamless workflows and high-quality deliverables. Participate in code reviews and provide feedback on quality and performance-related issues. Be an integral part of grooming, retrospective, and sprint planning meetings to help shape priorities, improve processes, and ensure team alignment. Stay current with industry trends and best practices in automation and Quality Assurance.

Position Intro:
We are the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. We have been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

we are a global leader in autonomous vehicle (AV) technology, pioneering advanced driver-assistance systems (ADAS) and self-driving solutions. Across the company, Senior Deep Learning Algorithm Developers work at the forefront of AV/ADAS innovation - designing, training, and optimizing deep neural networks for tasks such as perception, mapping, and scene understanding. This includes working with large-scale datasets, leveraging frameworks like PyTorch or TensorFlow, and applying state-of-the-art techniques to tackle complex perception and decision-making challenges in real-world driving scenarios. At our company, Senior Deep Learning Algorithm Developers contribute across multiple AI domains, with most opportunities in Computer Vision and additional roles in areas such as NLP/LLMs and 3D Perception (Radar, LiDAR, Fusion). This role serves as a central entry point, enabling us to align your expertise and aspirations with the projects and teams where you can make the greatest impact.
What will your job look like?
Design, develop and implement deep learning algorithms to solve complex problems in computer vision
Take ownership of deep learning projects: Compose product requirements, design solutions, oversee execution, and collaborate with talented Algorithm Developers.
Collaborate with cross-functional teams to understand requirements and develop solutions.
Analyze large datasets to improve algorithm performance and robustness.
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms.

we are a pioneering force in the autonomous vehicles (AV) industry. Join us to build the brain behind the car a large-scale, multi-task neural network that powers the core of our companys autonomous stack. Youll design and train cutting-edge deep learning models tailored for our custom EyeQ chip, tackling end-to-end challenges and deploying real-world solutions. From novel architectures and advanced training techniques to performance tuning under tight constraints, youll work closely with software and hardware teams to turn research into high-impact, production-ready systems. If youre a brilliant, hands-on researcher with a passion for shaping the future this is your launchpad.
Why us?
Our team is at the forefront of our companys most advanced AI efforts.
As a central hub for deep learning innovation, were trusted with designing the core neural network architecture that powers the companys flagship products.
If youre seeking a high-impact role among top-tier researchers and developers this is the place to be.

Were looking for a highly skilled Python Developer to join our engineering team. In this role, youll design, develop, and maintain backend systems that support our companys production and internal applications. Youll work across teams to deliver scalable, high-availability solutions, ensuring smooth operation of production environments and future web-based applications.
What will your job look like?
Design, develop, and maintain scalable, high-performance backend systems using Python.
Collaborate with cross-functional teams to build end-to-end solutions, occasionally including frontend integration using modern frameworks (React, Angular, or Vue).
Design and manage databases (SQL and NoSQL), focusing on performance, reliability, and data integrity.
Support and enhance production line applications, ensuring high availability, resilience, and fault tolerance.
Build, containerize, and deploy applications using Docker and Kubernetes on Linux environments.
Implement and manage CI/CD pipelines using GitLab CI for automated testing and deployment.
Work with AWS services to deploy, monitor, and scale applications in the cloud.
Optimize performance-critical components using C++ and/or Cython where needed.
Participate in architecture design, code reviews, and mentoring of junior developers.

The EyeQ SoC Performance Modeling and Profiling team is part of the EyeQ Platform Group (EPG), working on both current and next-generation designs for ADAS (Advanced Driver-Assistance Systems) and Autonomous Vehicles (AV). Performance models and profiling tools are essential components of the EPG infrastructure they are used during the hardware architecture definition phase of the EyeQ chip and by software developers to optimize performance.
What will your job look like:
You will be part of team that develops EyeQ SoC Performance Modeling environment and emulators
You will work on SOC performance analysis and optimizations.
You will be running HW benchmarks, to measure HW performance and to calibrate the simulation environment to match the performance of the silicon board.
You will be working on HW performance analysis and tuning, and influence future company EyeQ SoC design.
You will have the opportunity to work on open-source simulation and profiling tools and adopt them to our company's needs.
You will work closely with HW architects and SW/Algorithms developers.

Which department will you join? The SOC verification group owns the important and challenging job of verifying our company's chip. It is involved from product specification to final SOC delivery, and involves all the system components. The group is made up of few of the best verification engineers, so besides contributing to making our roads safer, youll get the chance to work at one of the most professional verification teams.
What will your job look like:
You will manage a team of 5 engineers
You'll be responsible for Pre-Silicon system-level verification of the most cutting-edge AI accelerators and technologies in the automotive field.
Define the TestPlan, develop and run tests on simulation/emulation environments, develop test environment and verification collaterals.
You'll have a broad effect on our unique product from the very beginning of the process.

At our company, we build products that help drive the automotive industry towards the Autonomous Vehicle revolution. This is an exciting opportunity to work with highly talented teams, and define the core software and algorithmic architecture for the vision and fusion algorithms on front-facing and surround systems aimed for different levels of autonomy.
What will your job look like:
Serve as a System Architect for the 'brain' of our company- the part of the software responsible for the vision, fusion and high level management in ADAS and AV projects.
Define high-level architecture for new product lines and help adapt the current architecture dynamically to the changing needs.
Lead and facilitate internal product design discussions with technology managers.
Map the needs of the different algorithmic teams, functional testing teams, software, optical and hardware teams.
Understand the customer needs and our company product-lines and strategy.
Define APIs and division of responsibilities between the different teams.

We are looking for a frontend -Focused QA Engineer to join our team, responsible for validating core web application components and ensuring a seamless integration within the product while maintaining a high-quality User Experience. This role is ideal for a QA professional with strong frontend testing expertise, focusing on UI functionality, UX / UI consistency, and cross-browser compatibility. While primarily frontend -focused, this position also involves API validation to ensure proper backend integration. You will work closely with developers, product managers, and designers to maintain and improve the quality of our core web platform. What Youll Do: Develop, execute, and maintain TEST plans. Perform UI testing, ensuring web applications are functional, responsive, and aligned with UX / UI standards. Work closely with developers and product managers to define acceptance criteria and ensure high-quality feature releases. Use various testing tools (Postman, Swagger, browser dev tools) to validate web behaviors, API interactions, and backend responses. TEST UI components using Storybook, ensuring proper rendering, interactions, and design consistency across different use cases. Operate in a cloud-based environment (AWS preferred) to TEST and validate infrastructure components.

Position Intro:
we are the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. our company has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

Were looking for someone who has the customer in mind, in terms of deployment frequency, dependable releases, and in close alignment with business objectives. The goal is to reduce the time between committing changes, updates, and product launches in normal production while maintaining the highest standards possible.

Role

Provisioning, managing and improving our AWS cloud infrastructure - EKS/Kubernetes clusters, EC2 instances, CloudFront, Serverless apps & more
Design, build, and maintain CI/CD pipelines, using code, configuration, build, deploy, and monitoring tools
Troubleshoot large applications You need to know what to do when something complex breaks down
Code OK- We don't just operate tools, we build new tools too
Work closely with developers in design and supporting new features, services and troubleshoot problems
Apply, integrate and improve open source tools to extend operations capabilities and efficiency
Find your way around the HTTP/TCP stack