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Salary: USD 148,000 - 201,000 / annual
Censys is seeking a Senior Software Engineer to join the SOC/TH (Security Operations Center/Threat Hunting) team focused on AI and LLMs. The 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.
You will work on transforming global internet scan data and threat intelligence into AI-powered actionable insights. Working closely with product and engineering teams, you'll translate complex customer requirements into well-architected AI-enabled interactions within the platform. The role focuses on building AI-powered experiences that make the Censys platform smarter, sharper, and more intuitive for exploring security signals and threats.
Key responsibilities include:
- 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
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. The company's mission is to be the one place to understand everything on the internet, providing best-in-class internet visibility and intelligence to the global security community.
REQUIREMENTS:
- 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 of 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
NICE-TO-HAVE:
- Leveraging AI tools as a force multiplier to code smarter and iterate faster
- 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
