What We Are Looking For As a Red Team Specialist focused on GenAI models, you will play a critical role in safeguarding the security and integrity of commercial cutting-edge AI technologies. Your primary responsibility will be to analyze and test commercial GenAI systems including, but not limited to, language models, image generation models, and related infrastructure. The objective is to identify vulnerabilities, assess risks, and deliver actionable insights that strengthen AI models and guardrails against potential threats. Key Responsibilities
* Execute sophisticated and comprehensive attacks on generative foundational models and agentic frameworks.
* Assess the security posture of AI models and infrastructure, identifying weaknesses and potential threats.
* Collaborate with security teams to design and implement effective risk mitigation strategies that enhance model resilience.
* Apply innovative testing methodologies to ensure state-of-the-art security practices.
* Document all red team activities, findings, and recommendations with precision and clarity.

About Alice:
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.

Hybrid:
Yes

Alice is seeking a driven, detail-focused professional to become a vital part of our team as a Generative AI Analyst. In this role, you'll dive into the cutting-edge of technology, meticulously analyzing various content infringements to secure the new wave of Generative AI tools. Your duties will include collaborating with experts in diverse fields such as Hate Speech, Misinformation, Intellectual Property and Copyright, Child Safety, among others. Your tasks will involve writing adversarial; prompts to identify weaknesses in various AI models, including Large Language Models (LLMs), Text-to-Image, Text-to-Video, and beyond. You'll also oversee data management to guarantee the highest quality of outputs. Responsibilities
* Developing adversarial and risky prompt strategies across several areas of abuse to expose potential vulnerabilities in models.
* Managing projects end-to-end, from initial planning and oversight through quality assurance to final delivery.
* Handling extensive datasets across multiple languages and areas of abuse, ensuring precision and meticulous attention to detail.
* Ongoing investigation into new tactics for circumventing foundational models' safety measures.
* Working alongside diverse teams, engineering, product, policy, to tackle new challenges and craft forward-thinking strategies and resolutions.
* Promoting a culture of knowledge exchange and continual learning within the team.

About Alice:
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.

We’re seeking a visionary Team Lead to lead a AI & backend-focused team building our next-generation Generative AI Platform. This platform will empower cross-functional teams across Earnix to design and deploy AI-driven solutions, leveraging cutting-edge advancements in generative AI, cloud-native architectures, and rapid innovation cycles. In this role, you’ll manage a high-performing backend team responsible for building scalable microservices and cloud-based infrastructure, while integrating advanced AI capabilities such as evaluation frameworks, RAG pipelines, knowledge base management, embeddings, LLMs, chatbot assistants, and agent orchestration.
What You’ll Do Lead and mentor a backend engineering team developing a scalable, cloud-native AI platform. You’ll foster a culture of technical excellence, collaboration, and ownership while ensuring delivery of robust, production-grade systems. Define the technical direction and architecture for backend services, focusing on microservices, distributed systems, and AWS-based infrastructure to support AI-driven applications. Integrate cutting-edge AI capabilities into the platform, including RAG pipelines, embeddings, LLM orchestration, and evaluation frameworks, ensuring performance, scalability, and security. Collaborate with product and engineering teams to translate business needs into backend solutions that enable AI-agent use cases and accelerate innovation across the organization. Drive agile processes and best practices , leveraging tools like Jira to manage sprints, track progress, and continuously improve team efficiency and delivery quality. Scale the team strategically , hiring and onboarding top talent while mentoring future leaders to support the growth of the Gen AI Platform group.

Position Intro:
Earnix is 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. Earnix 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.

We are seeking a talented Front-End Developer to join an AI-focused team building our next-generation Generative AI Platform. This platform will empower cross-functional teams across to design and deploy AI-driven solutions, leveraging cutting-edge advancements in generative AI, modern web architectures, and rapid innovation cycles. In this role, you will build user interfaces and integration layers that transform advanced AI capabilities into intuitive, high-impact user experiences.
What Youll Do Lead complex tasks from technical architecture and design to implementation and deployment. Develop user interfaces with an AI-first approach, leveraging tools like Claude Code and Cursor to enhance delivery. Design robust Front-End structures tailored for GenAI applications that align with company infrastructure. Partner with PM, UX, and backend teams; integrate closely with our Paris engineering office on cross-site projects. Perform code and design reviews while staying ahead of the latest Front-End and GenAI trends.

We are seeking a passionate Generative AI Builder to join our Engineering team and work directly with our development teams to accelerate the adoption of GenAI tools and establish best practices. Reporting to the VP R&D you will be embedded within our development organization to drive hands-on implementation, create effective workflows, and empower developers to leverage cutting-edge AI capabilities in their daily work.
What youll do:
Direct Developer Support & Enablement:
Work side-by-side with development teams to implement and optimize GenAI tools in real-world projects
Provide hands-on guidance for integrating AI coding assistants, code generation tools, and automation workflows
Troubleshoot implementation challenges and help teams overcome adoption barriers
Tool Implementation & Workflow Design:
Evaluate and pilot new GenAI development tools across different technology stacks
Design and document standardized workflows for common development tasks using AI assistance
Create custom integrations and configurations tailored to our specific development environment
Process Development & Optimization:
Establish GenAI coding standards, guidelines, and quality assurance processes
Design efficient workflows that maximize developer productivity while maintaining code quality
Develop feedback mechanisms to improve AI-assisted development practices continuously
Training & Knowledge Transfer:
Conduct hands-on workshops and training sessions on GenAI tools and techniques
Create practical tutorials, code examples, and documentation for immediate developer use
Mentor development teams on advanced prompt engineering and AI-assisted coding strategies
Innovation & Experimentation:
Stay current with emerging GenAI tools and evaluate their potential impact on development workflows
Run proof-of-concept projects to test new AI capabilities and use cases
Share insights and learnings with the broader engineering organization.

Were looking for a highly technical and visionary Team Lead to join our Backend department and spearhead our Agentic Pen Tests initiative. This is a high-impact role where youll merge AI innovation with advanced Cybersecurity, working with cross-functional teams to shape the future of OX

What Youll Be Doing

Lead and scale a global backend team dedicated to developing cutting-edge Agentic Pen Testing capabilities.
Architect and build robust, scalable systems using Node.js to support autonomous security agents.
Collaborate closely with Product, R&D, and customers to define the roadmap for this new, innovative domain.
Drive technical excellence by setting high standards for code quality, security, and AI integration.
Foster a collaborative environment that encourages proactive problem-solving and rapid innovation in the AI-Cyber space.
AI-First Mentality: Integrate AI tools and workflows into the daily development lifecycle (e.g., AI-assisted coding, automated testing, and prompt-driven prototyping) to act as a force multiplier for the team.

as an Agentic Pentest Director. Leading the development of agentic AI-driven penetration testing capabilities, focused on enabling autonomous security validation across modern software applications and infrastructure.

What Youll Be Doing

Become a company leader in the new product pillars that fall under your scope
Build a high-performing core engineering group by hiring top talent and fostering a culture of excellence, ownership, and collaboration
Drive the planning, execution, and delivery of key projects that impact the foundation of our product
Collaborate closely with product, architecture, security, product marketing, and other engineering teams to align technical vision and execution
Mentor and develop engineers, providing guidance and support for their growth
Help us continuously improve by bringing strategic thinking, hands-on leadership, and an agile mindset

The Staff Data & AI Architect will define and own the end-to-end architecture of our companys data and AI platform, spanning large-scale data systems, ML experimentation infrastructure, and production-grade model deployment. This role sets the architectural vision and technical standards for data and AI infrastructure across the company, ensuring scalable, compliant, research-accelerating systems that power both research and product development in a regulated biomedical environment.
Location: Ramat Gan, Israel (hybrid model)
What will you do?
Architect and evolve a scalable, resilient, and secure data and AI infrastructure supporting our companys research and product platforms. Identify recurring infrastructure and workflow challenges to drive the creation of generalized, reusable platform solutions.
Define scalable experimentation and MLOps patterns supporting experiment tracking, compute orchestration, dataset versioning, and reproducibility guarantees.
Lead the design and implementation of enterprise-grade data management. Establish and enforce data principles (e.g., FAIR, Medallion/Lakehouse architectures) to ensure data quality, lineage, discoverability, and reuse, while guaranteeing that all infrastructure meets security, privacy, and regulatory requirements.
Serve as the senior technical authority for data and AI infrastructure, partnering with Research, Engineering, and Product leadership to align architectural decisions with scientific and business priorities.
Lead technology evaluation and adoption decisions for AI infrastructure, balancing scalability, cost efficiency, compliance, and long-term maintainability.

We are looking for an AI Engineer to play a central role in building, evaluating, and advancing our companys AI models. You will own and evolve our companys benchmarking and evaluation capabilities for foundation models and multimodal systems, while also working closely with modeling teams to support model development, iteration, and validation. This role sits at the intersection of software engineering, model understanding, and applied AI, with broad influence on how models are built, compared, and improved across the organization.
Location: Ramat Gan, Israel (hybrid model)
What will you do?
Own & Evolve Benchmarking - Design, build, and maintain our companys benchmarking suite for foundation models and multimodal AI systems.
Define Core Abstractions - Create clean, extensible abstractions and APIs for datasets, tasks, models, metrics, and evaluation workflows.
Develop Metrics & Evaluations - Implement metrics that capture predictive performance, biological relevance, and multimodal alignment.
Support Model Development - Work closely with AI scientists and data scientists to integrate new models, tweak architectures, and enable rapid, fair iteration.
Bring in New Models & Baselines - Add external and internal models to benchmarks and ensure meaningful comparisons.
Explore Data When Needed - Dive into data and results to debug evaluations, understand model behavior, and unblock modeling work.
Enable Rigor & Reproducibility - Ensure evaluations are consistent, well-versioned, and trustworthy over time.

we are seeking to hire an Intelligence Infrastructure Expert for a full time position. The role includes creation, management, and integration of the companys unique infrastructure and tools across the different Web environments.
The position includes infrastructure establishment and processes management alongside end to end delivery to the different teams within the organization. You will be responsible for the generation of insights, means, and methods provided from diverse intelligence streams enabling the organizations teams to make the internet a safer place.
Responsibilities:
Monitoring Web and Mobile environments - social media platforms, forums, blogs, mobile applications and darknet to uncover malicious activity.
Identification, analysis and intelligence gathering on bad actors, sources and platforms, while identifying distribution methods.
Provide insights on intricate means and methods being used by threat actors to abuse the tech worlds most popular platforms while putting users at risk.
Identify and address opportunities alongside potential problems in operational processes.
Research, development and strategizing of new operational methods and logics.
We are looking for an expert with a Can Do! approach with the following desirable skills, qualities and experience.