Senior Full-stack Engineer

Summary

Join Censys as a Senior Full-stack Engineer to build AI experiences within our ASM platform. You will develop APIs, UI components, and user experiences that leverage AI to enhance search, recommendations, and automation, ultimately improving the platform's speed, intuitiveness, and user interaction. Your work will involve creating AI-driven analytics and automation tools to help users make better decisions. Collaboration with product, design, and frontend engineers is crucial to building native, intuitive, and useful AI-powered UI components. This role offers a competitive salary, bonus eligibility, equity, and comprehensive benefits starting on day one. Remote work options are available across the continental US.

Requirements

• Full-Stack AI Development
• 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
• AI Integration in UI
• 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
• 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
• Bonus eligibility
• Equity
• Remote work options are available across the continental US