Join the team, turning internet intelligence into real-world security outcomes. Built on the world’s most comprehensive and accurate map of the Internet, the Censys Platform delivers real-time visibility and actionable intelligence needed to accelerate triage, investigate threats, hunt adversaries, and manage Internet exposure. We're trusted by half of the Fortune 500 and government agencies all around the world, and looking for people as passionate about the problems we're solving as we are.  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 #LI-DNI 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. Identity Verification  As part of our hiring process, all candidates who receive an offer of employment will be asked to complete an identity verification through CLEAR. 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.