Senior Software Engineer, AI/LLM

Censys

4h•Remote

About The Position

Censys’ mission is to be the one place to understand everything on the internet, providing the industry’s most comprehensive, accurate, and up-to-date map of the Internet. They deliver real-time Internet intelligence and actionable threat insights to global governments, over 50% of the Fortune 500, and leading threat intelligence providers worldwide. Founded by researchers and practitioners, Censys is deeply committed to the quality, trustworthiness, and transparency of their data and results, continuously innovating to empower customers with the visibility they need. The company aims to bring internet visibility and intelligence to the world’s security teams, identifying potential threats and providing actionable insights for proactive defense strategies. The Senior Software Engineer, AI/LLM will report to the Engineering Manager for Exposure Management. This team is responsible for building high-impact product features and workflows on top of the Censys platform. The role involves collaborating with a team of experts focused on understanding customer business needs and securing their cloud environments, fostering a culture of learning and collaboration to build secure infrastructures. This position is critical for bringing AI-driven experiences to life, directly shaping user interaction with the platform by making it smarter, faster, and more intuitive.

Requirements

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.
Prompt Engineering.

Nice To Haves

Experience with retrieval-augmented generation (RAG), vector search, or LLM fine-tuning.
Understanding of embedding models and AI-driven analytics.
Experience optimizing AI models for real-time interaction in the browser or on the frontend.
Experience in secure AI model deployment, particularly in cybersecurity or sensitive data environments.
Understanding of frontend performance optimizations related to AI-driven experiences.
Experience with Helm for managing Kubernetes deployments.
Strong understanding of Kubernetes networking, scaling, and monitoring for AI-driven services.

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.