Senior AI/LLM Engineer

About the role

Censys is seeking an experienced AI/LLM Engineer to enhance our internet intelligence platform. You will develop and deploy AI-driven features that improve user experience and automate complex workflows. This role involves transforming internet-scale data into actionable insights for security professionals.

Key facts

What you'll do

• Create and launch AI-powered functionalities to refine search, enhance recommendations, and automate processes within the Censys Platform.
• Utilize machine learning techniques to simplify user workflows, personalize interactions, and highlight crucial intelligence.
• Develop and fine-tune large language models and RAG pipelines to analyze internet-scale data, summarize findings, and provide context-specific insights.
• Construct, scale, and maintain AI-driven analytics and automation systems to enable users to make quicker, data-informed decisions.
• Work with frontend, product, and data engineering teams to integrate AI capabilities that are intuitive, secure, and user-friendly.
• Continuously assess and improve model performance using RAGAS, LangSmith, and automated regression testing.

Requirements

• A minimum of 5 years in software engineering, with at least 2 years focused on building and scaling AI-driven user-facing features.
• Strong command of Python for backend and API service development.
• Familiarity with RAG evaluation frameworks like RAGAS and LangSmith, and experience designing regression tests for LLM pipelines.
• Ability to rapidly prototype, validate, and refine AI features in a dynamic, experiment-focused environment.
• Prior experience in prompt engineering to boost LLM accuracy, reasoning, and consistency.
• Understanding of secure and responsible AI practices, including the implementation of guardrails and safety measures.
• Practical experience with CI/CD pipelines, automated testing, and deployment best practices for AI applications.
• Proven ability to collaborate effectively across teams to ensure AI capabilities enhance the overall platform user experience.

Nice to have

• Experience using AI tools to improve coding efficiency, accelerate iteration, and boost product capabilities.
• Advanced knowledge of AI/ML architectures, model evaluation, and applied deep learning.
• Experience with retrieval-augmented generation (RAG), vector search, and LLM fine-tuning.
• Understanding of embedding models and AI-driven analytics.
• Demonstrated ability to optimize AI models for low-latency, real-time interactions in frontend environments.
• Experience deploying secure AI systems within the cybersecurity domain or other sensitive data environments.

Skills & tools

• Python
• RAGAS
• LangSmith
• CI/CD
• AI/ML Architectures
• Deep Learning
• Retrieval-Augmented Generation (RAG)
• Vector Search
• LLM Fine-tuning
• Embedding Models

Practical notes

• Salary range for high cost of living areas (San Francisco Bay, New York City, Seattle): $179,000 - $201,000 USD annually, plus bonus eligibility and equity.
• Salary range for all other locations: $148,000 - $192,000 USD annually, plus bonus eligibility and equity.
• Benefits are effective on day one and include 401k match, health, vision, and dental insurance.
• This role is open to remote employees across the continental US and Canada.
• Censys originated in Ann Arbor, Michigan.