סקירה כללית

^^משרה זו נלקחה מ Career^^We’re 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). You’ll 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. It’s 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 Requirements Must
• Have: 2+ years of hands
• on experience with GenAI tools (OpenAI, Claude, Bedrock, etc.) Proven ability to build LLM
• based solutions without model training Familiarity with frameworks like LangChain, vector DBs, RAG Ability to run quick PoCs (via Python, JS, no
• code tools, etc.) Solid understanding of prompt engineering and use
• case design Experience working with product managers or customer
• facing teams Strong communication and problem
• solving skills Background in software, product, AI, or system architecture Nice
• to
• Have: Experience in cybersecurity or automotive domains Experience working in startups or agile product environments What We Offer: A product
• driven AI role with real
• world impact A collaborative, innovation
• focused environment The opportunity to shape how GenAI powers critical systems in the automotive cybersecurity space

דרישות המשרה

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 Requirements Mus

הגשת מועמדות