高级AI/LLM工程师
Senior AI/LLM Engineer
公司背景
Censys 的使命是成为了解互联网上一切事物的唯一场所。由于对缺乏可信的互联网情报感到沮丧，我们致力于创建行业内最全面、准确和最新的互联网地图。如今，Censys 为全球政府、超过 50% 的财富 500 强企业以及全球领先的威胁情报提供商提供实时互联网情报和可操作的威胁洞察。
在 Censys，我们致力于为全球安全社区提供一流的互联网可见性和情报。我们的平台帮助安全团队发现隐藏的威胁，获得可操作的见解，并建立主动防御策略。全球各地的组织都信任 Censys，它能够穿透噪音，突出最重要的风险，使团队能够更快地响应，走在攻击者前面。我们不断推动可能的边界，帮助客户更清晰地看到和保护互联网。
地点：
该职位在美国或加拿大远程办公。
职位概述：
Censys 正在寻找一名高级软件工程师加入我们的 SOC/TH 团队，专注于人工智能和大语言模型（LLMs）。SOC-TH 团队在 Censys 平台之上构建基于情报的调查工作流，帮助分析师、威胁猎人、检测工程师和事件响应人员进行优先级排序、识别、分析和监控互联网规模的恶意基础设施。我们通过交付深度第三方丰富信息和实时对手基础设施可见性，将 Censys 定位为现代 SOC 的互联网情报层。该团队将全球互联网扫描数据和威胁情报转化为人工智能驱动的可操作见解。你将与产品团队以及跨工程团队紧密合作，以理解客户的业务需求，并将复杂的需求转化为我们平台中经过良好架构设计的 AI 支持的交互体验。通过培养学习和跨协作的文化，我们旨在构建符合客户独特需求的安全基础设施。你将帮助塑造世界如何看待互联网，打造人工智能驱动的体验，使 Censys 平台更加智能、敏锐和直观，以便探索每一个信号和威胁。
你将负责：
- 快速原型设计并部署人工智能驱动的功能，以增强搜索、改进推荐并自动化 Censys 平台上的工作流程。
- 应用机器学习技术来处理大规模网络数据，提升威胁情报的准确性与实用性。
查看英文原文
Company Background
Censys’ mission is to be the one place to understand everything on the internet. Frustrated by the lack of trustworthy Internet intelligence, we set out to create the industry’s most comprehensive, accurate, and up-to-date map of the Internet. Today, Censys delivers real-time Internet intelligence and actionable threat insights to global governments, over 50% of the Fortune 500, and leading threat intelligence providers worldwide.
At Censys, we’re on a mission to provide best in class internet visibility and intelligence to the global security community. Our platform helps security teams uncover hidden threats, gain actionable insights, and build proactive defense strategies. Trusted by organizations worldwide, Censys cuts through the noise to surface the most critical risks, enabling teams to respond faster, and stay ahead of attackers. We’re constantly pushing the boundaries of what’s possible to help our customers see and secure the internet more clearly than ever before.
Location:
This position is remote within the United States or Canada.
Role Summary:
Censys is seeking a Senior Software Engineer to join our SOC/TH team focused on AI and LLMs. The SOC-TH team builds intelligence-driven investigation workflows on top of the Censys Platform, helping analysts, threat hunters, detection engineers and incident responders triage, identify, analyze, and monitor malicious infrastructure at internet scale. We are defining Censys as the internet intelligence layer for the modern SOC by delivering deep third-party enrichments and real-time adversary infrastructure visibility to analysts in a single pane.The team transforms global internet scan data, threat intelligence, into AI-powered actionable insights. You'll work closely with product and across engineering teams dedicated to understanding customers’ business needs and to translate complex requirements into well-architected AI enabled interactions within our platform. By fostering a culture of learning and cross collaboration, we aim to build secure infrastructures tailored to our customers' unique requirements. You’ll help shape how the world sees the Internet building AI-powered experiences that make Censys platform smarter, sharper and more intuitive to explore every signal and threat.
What You’ll Do:
- Rapidly prototype and deploy AI-powered features to enhance search, improve recommendations, and automate workflows across the Censys Platform.
- Apply machine learning to streamline workflows, personalize experiences, and surface critical insights
- Develop and fine-tune LLMs and RAG pipelines to reason over Internet-scale data, summarize findings, and deliver context-aware insights.
- Build, scale and maintain AI-driven analytics and automation systems helping users make faster, data-backed decisions
- Collaborate with frontend, product, and data engineering teams to integrate AI-native experiences that feel seamless, intuitive, and secure
- Continuously evaluate and improve model performance through RAGAS, LangSmith, and automated regression testing frameworks
What You’ll Bring:
- 5+ years of software engineering experience, including 2+ years building and scaling AI-powered user-facing features
- Strong proficiency in Python for backend and API services development
- Familiarity with RAG evaluation frameworks (e.g., RAGAS, LangSmith) and designing regression testing for LLM pipelines
- Ability to rapidly prototype, validate and refine AI features in a fast-paced, experiment-driven environment
- Prior knowledge in prompt engineering improving LLM accuracy, reasoning and consistency
- Understanding secure and responsible AI practices, implementing guardrails and safety checks to prevent misuse or data exposure
- Hands-on experience with CI/CD pipelines, test automation, and deployment best practices for AI applications.
- Strong cross-team collaboration to ensure AI capabilities elevate the overall user experience on the Platform
What Sets You Apart:
- Leveraging AI tools as a force multiplier to code smarter, iterate faster boosting productivity and improving product capabilities
- Advanced knowledge of AI/ML architectures, model evaluation, and applied deep learning
- Experience with retrieval-augmented generation (RAG), vector search, and LLM fine-tuning
- Understanding of embedding models and AI-driven analytics.
- Proven ability to optimize AI models for low-latency, real-time interactions in browser or frontend environments
- Experience deploying secure AI systems in cybersecurity or other sensitive data domains
For high cost of living areas (San Francisco Bay, New York City, and Seattle), the expected salary range for this position is $179,000 USD - $201,000 USD, plus bonus eligibility and equity.
For all other locations, the expected salary range for this position is $148,000 USD - $192,000 USD, plus bonus eligibility and equity.
In addition to our great compensation package, our benefits are effective on day one and include but are not limited to: 401k match, health, vision, dental, and more! Please see our careers page for more details.
Our roots are in Ann Arbor, Michigan.
Our innovation is fueled by the team’s global perspectives.
For this role, we are open to remote employees across the continental US and Canada.
California Privacy Rights Notice
Pursuant to the California Consumer Privacy Act (CCPA), we are providing you with notice that we collect personal information from job applicants for business purposes, including evaluating your candidacy for employment, conducting interviews, and, if applicable, completing the hiring process. The categories of information we may collect include identifiers (such as name and contact information), professional or employment-related information (such as work history, education, and references), and other information you provide in your application. We do not sell or share your personal information. For more information on how we use and protect your personal information, and your rights under the CCPA, please refer to our Privacy Policy.
Originally posted on Himalayas