Full-Stack AI Engineer

Censys provides Attack Surface Management with daily IPv4 scans and the world's largest SSL/TLS Certificate database for enterprise security teams.
$140,000 - $180,000
Machine Learning
Mid-Level Software Engineer
Hybrid
101 - 500 Employees
3+ years of experience
AI · Cybersecurity

Description For Full-Stack AI Engineer

Censys, a leader in Attack Surface Management, is seeking a Full-Stack AI Engineer to join their innovative team. The company specializes in providing customers with comprehensive visibility into their external internet and cloud infrastructure through daily IPv4 scans and the world's largest SSL/TLS Certificate database.

As a Full-Stack AI Engineer, you'll be at the forefront of developing AI-driven experiences that enhance the platform's capabilities. The role combines machine learning expertise with full-stack development skills, focusing on building intelligent features that make the platform smarter, faster, and more intuitive for users.

The position offers a competitive salary range of $140,000 - $180,000 USD, along with bonus eligibility and equity. Censys provides a comprehensive benefits package including 401k matching, health, vision, and dental insurance, effective from day one.

This hybrid role is based in one of four hub locations: Ann Arbor, MI, Los Altos, CA, Kirkland, WA, or Tysons Corner, VA, requiring office presence three days a week. The company values global perspectives and fosters an environment of innovation across its various locations.

The ideal candidate will bring strong experience in Python and React, with expertise in AI/ML technologies including RAG, vector search, and LLM fine-tuning. You'll work on cutting-edge projects involving AI model deployment, frontend optimization, and secure implementation of AI features in a cybersecurity context.

Join Censys to be part of a team that's revolutionizing how organizations understand and secure their digital assets, while working with the latest AI technologies in a collaborative and forward-thinking environment.

Last updated 9 hours ago

Responsibilities For Full-Stack AI Engineer

  • 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
  • Collaborate with product, design, and frontend engineers to build AI-powered UI components

Requirements For Full-Stack AI Engineer

Python
React
Kubernetes
  • Strong experience with Python (FastAPI) for backend API development
  • Proficiency in React and frontend frameworks for integrating AI-powered UI features
  • Experience integrating AI-driven search, recommendations, or automation tools
  • Ability to rapidly build, test, and iterate on AI-driven features
  • Hands-on experience with CI/CD pipelines and testing automation
  • Strong ability to work with cross-functional teams
  • Experience with Helm for managing Kubernetes deployments
  • Strong understanding of Kubernetes networking, scaling, and monitoring

Benefits For Full-Stack AI Engineer

401k
Medical Insurance
Vision Insurance
Dental Insurance
  • 401k match
  • Health insurance
  • Vision insurance
  • Dental insurance
  • Bonus eligibility
  • Equity

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