Principal Engineer - AI

职位要求 / 描述

Most boards and executives are currently flying blind when it comes to cyber risk. They are guessing. At Safe, we’ve built an AI-driven engine that finally gives the C-Suite a clear, quantified, and real-time view of their security posture. We don’t just provide data; we provide certainty. We are a $170M Series C-funded category leader. We don’t play in the mid-market; we operate at the highest levels of global enterprise. Today, we are proud to serve 10% of the Fortune 500, protecting global icons such as Apple, Netflix, AT&T, Verizon, and Victoria’s Secret. As we scale toward our next chapter, we are looking for high-performers who want to do the best work of their careers at the intersection of AI and Cybersecurity. The Culture Memo: Our Operating System Safe is not a typical corporate environment. We are a high-intensity, mission-driven team. We value builders who want to define a category and work alongside people who are equally committed to excellence. Extreme Ownership: We don’t do "not my job." We hire people who see a gap and own the solution from start to finish. The Elite Standard: We serve the most sophisticated companies on the planet. Our work must be bulletproof. Whether it’s a line of code or a sales deck, we aim for Tier-1 quality every time. Methodology & Rigor: We don’t wing it. From Force Management and MEDDICC in sales to data-driven sprints in engineering, we rely on proven frameworks to stay disciplined and predictable. Radical Candor: We move too fast for politics or sugar-coating. We value direct, honest feedback that helps us find the right answer quickly. The Series C Hustle: We have the stability of a well-funded leader but the heart of a startup. The Perks & Ownership: We want our team to feel like owners because they are owners. We trust our people to manage their results and their time. Meaningful Equity: Every "Safestar" is a shareholder. You aren’t just an employee; you are a partner in our success. Unlimited Leaves: We don’t believe in clock-watching. We offer unlimited leave because we trust you to take the time you need to recharge while staying committed to the mission. Comprehensive Benefits: We provide top-tier medical insurance and wellness benefits to ensure you and your family are well cared for. Career Trajectory: We are growing aggressively. For high-performers, the path for advancement moves at the speed of your ambition. As a Principal Engineer - AI, you will define and lead the technical direction of AI systems that power Safe’s CRQ, CTEM, and TPRM products, including agentic workflows, RAG pipelines, LLM orchestration, and AI-native developer tooling. You’ll be the hands-on architect behind Safe’s AI engineering stack, bridging model intelligence with production-grade infrastructure.   You’ll collaborate with product, data, and platform teams to design scalable, explainable, and enterprise-ready systems.   This is a high-impact, technical leadership role that will shape how AI is built, deployed, and governed across Safe. Core Responsibilities:： • Architect Safe’s AI Systems: Design and scale AI-driven components — LLM orchestration, retrieval-augmented generation (RAG), vector stores, prompt pipelines, and AI microservices. Drive architecture for AI observability, safety, and evaluation (precision, recall, F1, hallucination detection, cost metrics). • Productionize AI Agents: Build multi-turn, goal-oriented agent systems that automate reasoning across TPRM, CTEM, and CRQ domains (e.g., control reviews, issue RCA, automated responses). Ensure reliability, traceability, and deterministic behavior in production. • AI Infrastructure & Platform Ownership: Partner with Platform & DevOps teams to operationalize model serving (AWS SageMaker, Bedrock, or self-hosted Llama), build AI APIs, and manage model lifecycle and versioning. Establish feature stores, embedding management, and in-memory retrieval layers. • Data Pipeline & Knowledge Graph Integration: Work with Data Engineerin

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