Senior Software Engineer, AI/LLM

Location: 

This is a fully remote position within the United States or Canada.

At Censys, our mission is to bring internet visibility and intelligence to the world’s security teams. Our platform not only identifies potential threats, but provides actionable insights and enables proactive defense strategies. Founded by researchers and practitioners, we are deeply committed to the quality, trustworthiness, and transparency of our data and results. As our own strongest critics, we continuously innovate to better understand the Internet and empower our customers with the visibility they need to succeed.

Role Summary:

We’re seeking a Senior Software Engineer focused on AI and LLM. In this role, you will report to the you will report to the Engineering Manager for Exposure Management — a team responsible for building high-impact product features and workflows that sit on top of the Censys platform. You'll collaborate with a team of experts dedicated to understanding customers’ business needs and securing their cloud environments. By fostering a culture of learning and collaboration, we aim to build secure infrastructures tailored to our customers' unique requirements. You will play a critical role in bringing AI-driven experiences to life. Your work will directly shape how users interact with our platform by making it smarter, faster, and more intuitive.

 

What You’ll Do:

• 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.

 

What You’ll Bring:

• Backend / AI Development
• Strong experience with Python (FastAPI) for backend API development.
• Proficiency in designing and integrating AI-powered features and services.
• Experience building and maintaining production-ready backend systems, including model integration and API orchestration.
• Ability to architect end-to-end backend solutions, from data handling to deployment and scaling.
• AI Integration in UI
• Experience integrating AI-driven search, recommendations, or automation tools in frontend applications.
• Evaluations
• Familiarity with RAGAS, LangSmith, and Regression Testing
• Prototyping Speed & Agility
• Ability to rapidly build, test, and iterate on AI-driven features in a fast-paced development environment.
• CI/CD & DevOps
• Hands-on experience with CI/CD pipelines, testing automation, and deployment best practices for AI applications.