AI Applied Engineer

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