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