דרושים » תוכנה » AI Platform Engineer

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 Alice:
Alice 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, Alice 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, Alice enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.

Hybrid:
Yes

What We Are Looking For As a GenAI Security Team Lead, you will lead a team of GenAI researchers, combining both strategic and hands-on, big-picture planning with direct technical contributions. Your primary responsibility will be managing a GenAI-focused team, while fostering a culture of innovation and excellence, providing comprehensive training, guidance, and leadership while ensuring high-quality deliverables. The position balances managerial responsibilities with hands-on technical work (approximately 25%) Key Responsibilities
* Recruit, mentor, and manage a team of GenAI researchers
* Regularly share knowledge with team members and collaborate across departments
* Evaluate and enhance team performance and deliverables quality
* Lead development of automated test harness, continuously evaluating prompts across multiple GenAI models to expose vulnerabilities and measure guardrail effectiveness.



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.

Alice partners with the world’s leading AI labs to deliver best-in-class model assurance, red teaming, evaluations, and post-training data programs. We’re looking for a Technical Engagement Lead to guide the technical success of these strategic customers. In this role, you’ll be the key technical counterpart to frontier-model teams—helping them design, structure, and execute complex AI safety programs. You won’t be building prompts or running evals yourself; instead, you’ll lead the technical architecture and orchestration of our work, ensuring quality, coherence, and impact across multiple workstreams. You’ll work hand-in-hand with a Senior Account Manager, delivery teams, researchers, and product leaders to help GenAI customers push forward safely and responsibly. What You’ll Do
* Serve as the primary technical partner for leading LLM labs and GenAI-native organizations
* Translate customer goals into structured evaluation, red teaming and data programs
* Design engagement architectures across multiple parallel contracts and initiatives
* Ensure technical excellence and consistency in all deliverables
* Lead technical discussions with research, safety, and product teams
* Identify risks, dependencies, and evolving needs early, and drive resolution
* Stay ahead of emerging evaluation methodologies, safety approaches, and model risk trends
* Partner internally with Delivery, Research, Product, and Account Manager to ensure seamless execution
Why Alice Work with the world’s leading AI labs
* Help shape the safety and trustworthiness of next-generation AI models
* Join a mission driven, high performing team
* Enjoy opportunities for growth and professional development in a cutting-edge field.

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

We're seeking an exceptional AI Engineer to play a central role in our AI Engineering Group. This is an opportunity to join our strong AI group, with a specific focus on Angie - our comprehensive chat agent that's revolutionizing website building and management.
In this role, you'll be at the leading LLM based technological exploration, utilizing a diverse array of tools and advanced technologies. Your mission? To apply cutting-edge AI technologies, to architect and deploy solutions that aren't just high-performing; they're revolutionary. You'll develop systems that cater to our extensive user base (currently 100K+ active users), ensuring that every interaction with our platform reflects our commitment to excellence. If youre enthusiastic about AI and you breathe Agents, MCP, Prompt Engineering, and all the goods of the new world, your place is with us.
About Angie: An Agent-based operating system for website creation and management. Currently in its scaling phase with rapid development cycles, Angie is designed to perform complex operations, such as vibe coding, content generation, bulk actions, error checking, and more.
Work Environment
What do we do:
This is where web creation happens for real.
We are a multi-product platform powering over 13% of the internet.
Our products give millions of web creators: developers, designers, and marketers - everything they need to build, scale, and succeed.
From Israel to more than 160 countries, a new website goes live with us every 10 seconds.
How do we do it:
By staying AI-first, data-driven, and human-led.
We build real products that deliver real value, and we do it together.
Ceativity, fast feedback, and open collaboration shape everything we do.
You will find good energy and people who genuinely care about the product, the users, and each other.
It is a place to grow, make an impact, and help shape the future of the web.
Responsibilities
Play a key role in defining our developing AI strategy, particularly around Angie's evolution
Gain a deep understanding of the various product lines, with an emphasis on incorporating AI wherever possible to unlock new business frontiers
Pioneer new developments, from both a technological and a business perspective
Test emerging AI abilities, incorporating them into our existing and new services, delivering high-quality products while applying engineering best practices and standards
Oversee end-to-end development, from ideation to production, while working closely with multiple company stakeholders
Work alongside a dynamic team of domain experts who are passionate about technology and making an impact
Thrive in a fast-paced environment with frequent changes and the exciting challenges of scaling a new product
Continuously expand and enhance the AI capabilities of our products, identifying opportunities to integrate new AI features that deliver meaningful value to users.

We're seeking an exceptional Senior AI Engineer to play a central role in our AI Engineering Group. This is an opportunity to join our strong AI group, with a specific focus on Angie - our comprehensive chat agent that's revolutionizing website building and management.
In this role, you'll be at the leading LLM based technological exploration, utilizing a diverse array of tools and advanced technologies. Your mission? To apply cutting-edge AI technologies, to architect and deploy solutions that aren't just high-performing; they're revolutionary. You'll develop systems that cater to our extensive user base (currently 100K+ active users), ensuring that every interaction with our platform reflects our commitment to excellence. If youre enthusiastic about AI and you breathe Agents, MCP, Prompt Engineering, and all the goods of the new world, your place is with us.
About Angie: An Agent-based operating system for website creation and management. Currently in its scaling phase with rapid development cycles, Angie is designed to perform complex operations, such as vibe coding, content generation, bulk actions, error checking, and more.
Responsibilities
Play a key role in defining our developing AI strategy, particularly around Angie's evolution
Gain a deep understanding of the various product lines, with an emphasis on incorporating AI wherever possible to unlock new business frontiers
Pioneer new developments, from both a technological and business perspective
Test emerging AI abilities, incorporating them into our existing and new services, delivering high-quality products while applying engineering best practices and standards
Evaluate and optimize LLMs' performance - a critical aspect of the role, including cost optimization and response speed improvements
Oversee end-to-end development, from ideation to production, while working closely with multiple company stakeholders
Work alongside a dynamic team of domain experts who are passionate about technology and making an impact
Thrive in a fast-paced environment with frequent changes and the exciting challenges of scaling a new product
Continuously expand and enhance the AI capabilities of our products, identifying opportunities to integrate new AI features that deliver meaningful value to users.

We are looking for a driven and experienced leader to manage a growing interdisciplinary team of LLM Agentic AI Researchers, Computational Biologists, and Immunologists. This teams mission is to build a cutting-edge agentic reasoning system powered by Large Language Models (LLMs), capable of generating structured, biologically grounded sequential explanations based on predictions from proprietary foundation model-trained on hundreds of millions of immune cells. The product the team builds is a pillar of AI strategy, with the potential to redefine the way a drugs mode of action is understood.

Location: Ramat Gan, Israel (hybrid model)

What You'll Do:

Set the Vision - Collaborate with product leadership to transform bold ideas into AI capabilities that impact real-world medical decisions.
Build and Lead the Team - Coach, build and inspire a high-caliber team across LLMs, data science, and Immunology. Cultivate a culture of excellence, curiosity, and execution.
Drive Innovation - Lead from the front-design architectures, write prototypes, and guide technical direction. Lead the team in building agents that reason about biological systems at scale.
Ship Transformative Products - Deliver AI products & solutions that move the needle for and its partners - from static biological associations to dynamic, explanatory models of causality.
Showcase Leadership - Represent the team and top-tier scientific conferences and publications, communicating groundbreaking research to the world.

We are seeking a student with a passion for AI to join our GenAI group, focused on driving product innovation through our AI-powered solutions.

This role offers a unique opportunity to work on cutting-edge projects, where you will validate, optimize, and develop LLM, knowledge bases and agentic capabilities that enhance the performance and scalability of our AI platform. This person will be involved in solving complex, real-world challenges while making a tangible impact on the evolution of our AI products.

What youll do:

Optimize, evaluate and refine AI solutions to enhance performance, accuracy, and efficiency.

Expand training and testing data, leveraging both hand-crafted and automated examples.

Address challenges in AI architecture scalability and reliability.

Stay at the forefront of GenAI advancements and best practices.

You will be part of REM (Road Experience Management) department, which is responsible for the automatic High-Definition map-making process, which is a key technology in autonomous driving and high-end Driving Assistance systems.

Vision-based localization is a key enabler for utilizing and creating the maps. Our group is responsible for aligning the map with the world, and reporting detected changes during the drive. Our technology is safety-critical, and the code has strict time and memory constraints as it operates in real time.
What will your job look like:
Develop and optimize computer vision and deep learning algorithms to accelerate data generation and labeling workflows for autonomous driving
Apply both classical computer vision techniques and modern deep learning methods to solve large-scale data challenges
Collaborate closely with development and annotation teams to enhance automation and ensure high-quality data
Own the entire lifecycle from prototyping to scalable deployment within internal pipelines and tools
Develop tools to evaluate and analyze algorithm performance, robustness, and operational efficiency

Were looking for an AI Specialist- Automation & Integrations- a hands-on builder who works directly with business teams to design, build, and ship real AI-powered and automated solutions.
This is not an R&D or advisory role. Its a delivery-focused position for someone who enjoys turning complex, manual workflows into smart, scalable AI solutions that are actually used across the organization.
Youll play a key role in enabling non-R&D teams to adopt AI in a practical, measurable way- helping us move faster, work smarter, and scale impact through AI.
If youre ready to transform theoretical AI into operational excellence, were looking for you, we have 3 open positions for impact-driven builders to join our mission.
Responsibilities
Partner with teams across Marketing, CX, Legal, Finance, HR, Product IT and Operations to spot high-impact opportunities for AI and automation.
Prioritize use cases with stakeholders based on impact and feasibility
Design, prototype, and ship AI-powered solutions using LLMs, automation platforms, agent frameworks, and no/low-code tools.
Establish and maintain AI foundations (connectors, reusable components, templates, knowledge patterns)
Build real, working proof-of-concepts - connecting APIs, and orchestrating workflows
Enable and support AI Champions with playbooks, Gyms, and training
Stay up to date with emerging AI technologies, evaluating which models, architectures, and tools can deliver the greatest value to the business, while maintaining close alignment with the R&D AI guild and other technical AI teams across the company.
Measure adoption and impact - whether that's increased velocity, cost savings, accelerated revenue, or reduced errors - and iterate based on feedback and real outcomes.
Create documentation, reusable components, and playbooks that help more people across experiment with and scale AI.