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.
