Senior Software Engineer, AI/LLM

Company Background

Censys’ mission is to be the one place to understand everything on the internet. Frustrated by the lack of trustworthy Internet intelligence, we set out to create the industry’s most comprehensive, accurate, and up-to-date map of the Internet. Today, 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.

Location:

This position can be remote within the United States, but employees have the option to work from any of our office locations: Ann Arbor, MI; Los Altos, CA; Seattle, WA; or Tysons, VA.

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 Threat Hunting and Advanced Solutions — 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:

• Full-Stack AI Development
• Strong experience with Python (FastAPI) for backend API development.
• Proficiency in React and frontend frameworks for integrating AI-powered UI features.
• 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.
• Cross-Team Collaboration
• Strong ability to work with product managers, designers, and engineers to develop AI-driven features that enhance user experience.
• Prompt Engineering

Bonus Points:

• Advanced AI & ML Knowledge
• Experience with retrieval-augmented generation (RAG), vector search, or LLM fine-tuning.
• Understanding of embedding models and AI-driven analytics.
• Performance Optimization
• Experience optimizing AI models for real-time interaction in the browser or on the frontend.
• Security & Compliance
• Experience in secure AI model deployment, particularly in cybersecurity or sensitive data environments.
• Frontend Performance & AI UX
• Understanding of frontend performance optimizations related to AI-driven experiences.
• Infrastructure & Deployment (IaC + Helm)
• 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 $134,000 USD and $180,000 USD + 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 with location hubs in Seattle, the Bay Area, and Washington D.C. Our innovation is fueled by the team’s global perspectives. For this role, we are open to remote employees across the continental US.

Originally posted on Himalayas