Senior Software Engineer, AI/LLM

Summary

Join Censys as a Senior Software Engineer focused on AI and LLM, contributing to the development of high-impact product features and workflows. You will report to the Engineering Manager for Threat Hunting and Advanced Solutions and collaborate with a team of experts. This role involves building AI-driven experiences to enhance search, recommendations, and automation, reducing friction in workflows, and personalizing interactions. You will develop AI-driven analytics and automation tools and collaborate with product, design, and frontend engineers. The position offers a competitive salary and benefits package and can be remote within the United States.

Requirements

• 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

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

Preferred Qualifications

• 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

Benefits

• 401k match
• Health
• Vision
• Dental