Full-Stack AI Engineer

Ann Arbor, MI or Kirkland, WA or Los Altos, CA or Tysons, VA

Censys

Attack Surface Management and Threat Hunting solutions powered by the most comprehensive dataset of internet intelligence.

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At Censys, our mission is to bring internet visibility and intelligence to the world’s security teams. Our platform not only identifies potential threats, but provides actionable insights and enables proactive defense strategies. Founded by researchers and practitioners, we are deeply committed to the quality, trustworthiness, and transparency of our data and results. As our own strongest critics, we continuously innovate to better understand the Internet and empower our customers with the visibility they need to succeed.

Role Summary:

We’re seeking a Full-Stack AI Engineer to join our team. As an AI Engineer on our team, 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.

What you’ll bring:

  • Full-Stack AI Development
    • 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.
  • Prototyping Speed & Agility
    • 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.

Skills that set you apart:

  • 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.

Our target salary range for this role is between $140,000 - $180,000 USD + bonus eligibility and equity.

In addition to our great compensation package, our benefits are effective on day one and include but are not limited to 401k match, health, vision, dental, and more! Please see our careers page for more details.

Our roots are in Ann Arbor, Michigan with location hubs in Seattle, the Bay Area, and Tysons, VA. Our innovation is fueled by the team’s global perspectives. For this role, we are looking for candidates based in one of our four hub locations: Seattle, WA, Los Altos, CA, Tysons, VA, or Ann Arbor, MI and will be required to go into one of the offices on Tuesdays, Thursdays, and a third day of choice. 

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Tags: ANN API Development APIs CI/CD DevOps FastAPI Helm Kubernetes LLMs Machine Learning Model deployment Pipelines Prototyping Python RAG React Security Testing UX

Perks/benefits: 401(k) matching Equity / stock options Health care Salary bonus Transparency

Region: North America
Country: United States

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