Senior AI/LLM Engineer

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 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,

• (Desirable) Leveraging AI tools as a force multiplier to code smarter, iterate faster boosting productivity and improving product capabilities,

• (Desirable) Advanced knowledge of AI/ML architectures, model evaluation, and applied deep learning,

• (Desirable) Experience with retrieval-augmented generation (RAG), vector search, and LLM fine-tuning,

• (Desirable) Understanding of embedding models and AI-driven analytics,

• (Desirable) Proven ability to optimize AI models for low-latency, real-time interactions in browser or frontend environments,

• (Desirable) Experience deploying secure AI systems in cybersecurity or other sensitive data domains

What the job involves

• 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

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• 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,

• 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