דרושים » AI » Applied LLM Researcher

Were looking for a hands-on, product-minded AI professional to help us tackle real-world cybersecurity challenges using existing LLM technologies (like OpenAI, Claude, Bedrock, and more). Youll be part of the Product & AI team, working closely with product managers, engineers, and internal stakeholders to translate problems into smart, working AI-powered solutions.
This is not a researcher or data science role. Its a solution-driven, execution-oriented position for someone who knows what LLMs can do, and how to make them deliver value today.
Key Responsibilities:
Design AI-powered solutions using off-the-shelf tools and APIs (prompting, chaining, agents, etc.)
Collaborate with product and R&D teams to deliver working features and PoCs
Own the how of AI: from idea to prototype to functional integration
Track AI industry trends and apply relevant ideas and tools
Act as a cross-functional bridge between product, tech, and innovation.

Were looking for a Senior AI Engineer to join our team and help build cutting-edge solutions at the intersection of Generative AI, traditional Machine Learning, and software engineering. This is an exciting opportunity to work on transformative projects that shape the future of intelligent systems.
What Youll Do:
Design, develop and deploy Generative AI systems, including LLM-based pipelines, multi-agent systems, and retrieval-augmented generation (RAG).
Design, develop and deploy Generative AI and ML pipelines for tasks like classification, clustering, ranking, and recommendation.
Lead experiments and evaluate models using appropriate benchmarks and metrics.
Collaborate cross-functionally with product and other R&D teams to bring intelligent features into real-world applications.
Write clean, efficient, and well-tested Python code to support experimentation, training, and production use.
Contribute to engineering best practices and knowledge sharing.

We are now hiring our first Prompt Engineer to join the Product team and lead the development of GenAI-powered experiences. Youll work across multiple product lines to design and implement production-grade prompt architectures, embed AI agents into the user journey, and scale experimentation with cutting-edge LLM tools.

Product Team Member Prompt Engineer

This role blends hands-on AI development with product integration strategy. Youll collaborate with product managers and engineers to design, evaluate, and iterate on generative AI solutions including multi-step prompt chains, agent workflows, and LLM selection frameworks. Your work will shape how personalization evolves across the platform.

All About the Role

Design and refine prompt architectures (e.g., few-shot, chain-of-thought, tool use) that drive our LLM-powered features

Select and evaluate models, frameworks, and orchestration tools (e.g., OpenAI, Claude, LangChain, RAG)

Collaborate with engineers to implement scalable agent-based workflows and integrate GenAI into the product

Partner with Product Managers to define user-facing use cases and influence product direction with AI capabilities

Develop internal tooling and evaluation frameworks to test prompt quality, model behavior, and UX alignment

Act as a thought leader on prompt best practices, model safety, and responsible AI design across product squads

We are looking for a proactive and technically skilled AI Developer to join our MIS team. In this role, you will lead the development of AI-driven solutions to improve internal business processes across multiple departments. You will work closely with teams across the company to understand their needs and translate them into impactful AI automation and analytics. As the AI expert in the team, you will take ownership of AI initiatives, driving projects from conception to implementation.

What will you do:
Act as the AI lead within the MIS team, driving AI strategy and initiatives.
Identify AI opportunities proactively and champion AI adoption within the company.
Collaborate cross-functionally to ensure AI solutions align with business needs and goals.

In this role, youll research and build defenses across AI systems, agentic protocols, Identity platforms, and SaaS applications. One day you might analyze a new class of AI prompt injection attacks or Agents abuse, the next youll be hunting through data or creating novel protection mechanisms for them. Youll work closely with product teams to turn research prototypes into real security features.
Join our threat protection research team and be part of a team who contributes to our companys most advanced and innovative security solutions. Our mission is to help everyone to counter cyber threats by strengthening their security capabilities across their entire environment, including Identities, Agentic AI systems, Cloud and Applications.
our companys mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
Conduct in-depth analysis and research on cloud environments and AI tools to identify threats, vulnerabilities, and potential risks.
Investigate, analyze, and learn from security researchers, attackers, and real incidents to develop durable detection strategies across the entire kill-chain.
Collaborate with multiple product and engineering teams to design the next iteration of sensors, implement detection ideas and validate their effectiveness using a data-driven approach.
Provide cybersecurity expertise as needed during security escalations and incidents to help protect our company and our customers

Were expanding our Data & AI group and looking for a passionate and skilled Data & AI Engineer to join our mission. This is a unique opportunity to work at the intersection of data engineering, machine learning, and cybersecurity innovation.
You'll work on:
Data Infrastructure & Engineering: Design, build, and scale production-grade data pipelines using Databricks and Spark. Ensure high levels of data integrity, system performance, and platform reliability.
AI & ML Collaboration: Collaborate with Data Scientists, Security Researchers, and Engineers to transform and deliver data for ML and GenAI model development. Build proof-of-concepts (POCs) to streamline operations such as model debugging, visualization, and experimentation.
Innovation & AI Systems: Prototype and integrate agentic workflows and LLM-powered systems (e.g., RAG, AWS Bedrock, LangGraph). Identify and develop intelligent, data-driven features that provide actionable insights to customers.

We are looking for a Gen AI Researcher.
As a Red Team Specialist focused on Generative AI Models, you will play a critical role in enhancing the security and integrity of our cutting-edge AI technologies.
Your primary responsibility will be to conduct analysis and testing of our generative AI systems, including but not limited to language models, image generation models, and any related infrastructure.
The goal is to identify vulnerabilities, assess risks, and provide actionable insights to fortify our AI models and guardrails against potential threats.
Key Responsibilities:
Simulated Cyber Attacks: Conduct sophisticated and comprehensive simulated attacks on generative AI models and their operating environments to uncover vulnerabilities.
Vulnerability Assessment: Evaluate the security posture of AI models and infrastructure, identifying weaknesses and potential threats.
Risk Analysis: Perform thorough risk analysis to determine the impact of identified vulnerabilities and prioritize mitigation efforts.
Mitigation Strategies: Collaborate with development and security teams to develop effective strategies to mitigate identified risks and enhance model resilience.
Research and Innovation: Stay abreast of the latest trends and developments in AI security, ethical hacking, and cyber threats. Apply innovative testing methodologies to ensure cutting-edge security practices.
Documentation and Reporting: Maintain detailed documentation of all red team activities, findings, and recommendations. Prepare and present reports to senior management and relevant stakeholders.

We are building a new software engineering team with strong applied AI orientation to amplify success. The team will be focusing on creating company-wide applications to address our colleagues every day problems. You will have a chance to work with a broad range of teams , helping them to be more productive with custom solutions.
Collaborate with cross-functional distributed teams.
Gather, analyze and spec out requirements, and manage product deliverables.
Design and build scalable AI-driven products addressing real-world problems.
Stay current with the latest technical advancements, particularly in the field of AI and LLMs.

we are 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 prompts across several areas of abuse to expose potential vulnerabilities in models.
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 teamsengineering, product, policyto tackle new challenges and craft forward-thinking strategies and resolutions.
Promoting a culture of knowledge exchange and continual learning within the team.