Censys is seeking a Senior Full-stack Engineer to help bring AI experiences into our ASM platform, aiming to make the platform smarter, faster, and more intuitive for security teams.
Requirements
- Expert backend engineering skills in Golang
- Strong experience with Python (FastAPI) for backend API development.
- Proficiency in React and frontend frameworks for integrating AI-powered UI features.
- Experience integrating AI-driven search, recommendations, or automation tools in frontend applications.
- Familiarity with RAGAS, LangSmith, and Regression Testing
- Ability to rapidly build, test, and iterate on AI-driven features in a fast-paced development environment.
- Hands-on experience with CI/CD pipelines, testing automation, and deployment best practices for AI applications.
Responsibilities
- Rapidly prototype and deploy AI features that enhance search, recommendations, and automation.
- Leverage AI to reduce friction in workflows, personalize interactions, and surface key insights.
- Develop AI-driven analytics and automation tools that help users make better decisions, faster.
- Collaborate closely with product, design, and frontend engineers to build AI-powered UI components that feel native, intuitive, and useful.
- Build APIs, UI components and user experiences that will bring AI-driven experiences to life.
- Define inventory and attack perimeters using AI.
- Build workflows for identifying and remediating risks in their attack surface.
Other
- Strong ability to work with product managers, designers, and engineers to develop AI-driven features that enhance user experience.
- Prompt Engineering
- Experience with retrieval-augmented generation (RAG), vector search, or LLM fine-tuning.
- Understanding of embedding models and AI-driven analytics.
- Experience optimizing AI models for real-time interaction in the browser or on the frontend.
- Experience in secure AI model deployment, particularly in cybersecurity or sensitive data environments.
- Understanding of frontend performance optimizations related to AI-driven experiences.
- Experience with Helm for managing Kubernetes deployments.
- Strong understanding of Kubernetes networking, scaling, and monitoring for AI-driven services.
- Our target salary range for this role is between $146,300 - $197,600 + 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!
- Our roots are in Ann Arbor, Michigan.
- For this role, we are open to remote employees across the continental US.
- This is a fully remote position within the United States.
- Note to external recruiters/agencies: We are not currently engaging with third-party agencies for this role and will not accept unsolicited outreach. We kindly ask that you do not submit resumes or candidate profiles to our team.
