Senior Software Engineer, AI/LLM

Role Description

We’re seeking a Senior Software Engineer focused on AI and LLM. In this role, 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.

Qualifications

• 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.
• 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.
• Strong ability to work with product managers, designers, and engineers to develop AI-driven features that enhance user experience.

Requirements

• 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

• Competitive benefits package including equity, health, dental & vision coverage.
• Retirement with company contribution.
• Parental leave.
• Mental health & wellness benefits.
• Flexible PTO.
• Professional development stipend.
• Sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles.