AI & machine learning engineer

Florbs

Utrecht

Hybrid

EUR 90,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Competitive salary
Share packages

Job summary

Florbs is hiring an AI & ML Engineer to advance security AI models and an intelligent Security Copilot for Google Workspace. You will design, train, and evaluate models, build RAG-based knowledge systems, and deliver end-to-end UI with Next.js/TypeScript while monitoring production performance and security impact.

You will work in a fast-paced startup environment, applying first-principles thinking and a strong passion for security to protect customers at scale.

Qualifications

  • Proven production AI/ML model experience across generative and analytical models.
  • Experience with anomaly detection and behavioral analytics on time-series data.
  • Strong experience designing Retrieval Augmented Generation (RAG) architectures and vector databases.
  • Proficiency in TypeScript and Next.js for building UX around AI features.

Responsibilities

  • Design, build, and train AI/ML models to detect anomalies and threats in Google Workspace.
  • Develop an AI-powered Security Copilot to guide incident responses.
  • Implement evaluation frameworks to measure model performance (precision/recall/false positives).
  • Develop and optimize RAG-based knowledge systems powering the Security Copilot.
  • Build backend APIs and frontend interfaces (Next.js/TypeScript) to surface AI-driven insights.
  • Set up production monitoring, logging, and alerting for models.
  • Iterate rapidly, deploying solutions and learning from data.
  • Ensure engineering decisions enhance customer security posture.

Skills

AI & ML Expertise
Behavioral Analytics
RAG & Knowledge Systems
LLM Evaluation
Developer Skills (TypeScript/Next.js)
First-Principles Thinker
Startup Mentality
Passion for Security

Tools

Python
Golang
Vector databases
Next.js
TypeScript

Job description

We're Florbs , the security shield for Google Workspace.

Florbs provides automated security for your Google Workspace. We give full visibility and control of the Workspace environment, protecting data at scale through automated security policies, user access management, and alerting to potential threats before they become a problem.

We're not just building software, we're creating a smarter, safer way for teams to work with data. Florbs is the Fluid Orb, flowing seamlessly with our data, people, and AIs, so teams can move fast without risk.

Backed by the founders of highly successful companies like Booking.com, Adyen, Ohpen, BinckBank, Brand New Day, Flow Traders and supported by a solid founding team with deep domain experience, we’re growing fast and looking for foundational team members to join the journey. Join us as our next AI & Machine Learning Engineer.

Responsibilities
  • Security AI Model Development: Design, build, and train sophisticated AI/ML models to detect anomalies and threats in user behavior within Google Workspace (e.g., unusual login patterns, data access, file sharing, and API usage).
  • Intelligent Security Copilot: Build and enhance our AI-powered support agent. This copilot will assist security teams by answering complex questions and guiding them through incident response using natural language.
  • Model Evaluation: Implement robust evaluation frameworks and metrics to measure the performance of our security models, focusing on threat detection accuracy, precision, recall, and minimizing false positives.
  • Knowledge Base Development: Develop and optimize our RAG-based knowledge systems that power the Security Copilot, integrating data from security best practices, threat intelligence feeds, and Google Workspace documentation.
  • Full-Stack Implementation: Build the backend APIs and frontend interfaces (using Next.js/TypeScript) required to surface AI-driven insights, alerts, and agent interactions to our users in a clear and actionable way.
  • Production Monitoring: Implement and manage monitoring, logging, and alerting systems to ensure our AI models are performing reliably and effectively in production.
  • Iterate with Purpose: Contribute to a culture of rapid feedback loops, deploying solutions quickly, learning from data, and continuously improving our threat detection capabilities.
  • Customer-Centric Security: Constantly assess how your engineering decisions directly enhance customer security posture and deliver tangible value.
Job requirements
  • AI & ML Expertise: Deep experience building and deploying AI/ML models in production. Experience with both generative AI (LLMs) and analytical models (e.g., for anomaly detection, classification) is essential.
  • Behavioral Analytics: Proven experience in anomaly detection, pattern recognition, or behavioral analytics, ideally working with user activity logs or time-series data.
  • RAG & Knowledge Systems: Strong experience designing and implementing Retrieval Augmented Generation (RAG) architectures and working with vector databases.
  • LLM Evaluation: Proven experience implementing evaluation frameworks and metrics for large language models to ensure accuracy and relevance in a specialized domain like cybersecurity.
  • Developer Skills: Good proficiency in TypeScript and Next.js (or similar modern frameworks) to build end-to-end user experiences around our AI features.
  • First-Principles Thinker: You approach complex security challenges by understanding the core mechanisms of threats and data, allowing you to innovate beyond simply applying existing frameworks.
  • Startup Mentality: You thrive in a fast-paced environment, are comfortable with ambiguity, and are driven to take ownership and make a significant impact.
  • Passion for Security: You are genuinely passionate about applying AI to solve complex cybersecurity challenges and protect businesses at scale.
Nice to haves
  • Strong proficiency in Python and/or Golang.
  • Background in cybersecurity, SaaS security, or Identity and Access Management (IAM).
  • Familiarity with the Google Workspace Admin SDK and other relevant APIs.
  • Previous experience at an early-stage startup or as a founding engineer.
What we offer

You are ready for the ride of a lifetime with experienced entrepreneurs and innovators who aim for growth on a global scale. We look for an enormous drive and a hands-on mentality. We need somebody who can work with us in creating the best AI-powered Google Workspace security solution out there!

We offer a competitive salary, a highly experienced (and very engaging!) team, and considerable share packages.

  • competitive salary
  • considerable share packages
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