Full Stack AI Engineer - Security

**Build the Future of Intelligent Defense at arrivia** At ***arrivia***, we specialize in making brands better through the power of travel, combining decades of experience with a constant drive for technology innovation. While our physical offices span the globe, we are looking for a highly skilled, remote-first engineer to join our team. **This specific role is a fully remote opportunity based within Mexico.** This role sits at the intersection of machine learning, cybersecurity, and full-stack engineering. You won't just be monitoring dashboards; you’ll be architecting intelligent defenses that keep our members and data safe from evolving digital threats by building high-scale, real-time security systems. **The Opportunity** As a core member of our IT Operations team, reporting to the Security Ops Lead, you will design, build, and deploy AI-driven systems that detect and neutralize fraud, abuse, and intrusion. You will have the opportunity to apply anomaly detection, graph analysis, and NLP to real-world security challenges, ensuring our "customer-first" culture is backed by reliable, high-performance safety measures. **What You’ll Do** - **Design & Architect:** Implement and scale AI/ML models to proactively detect, prevent, and respond to security threats such as identity risk, fraud, malware, and insider anomalies. - **System Reliability:** Build and maintain robust data ingestion, feature engineering, and real-time streaming pipelines (e.g., utilizing SQL/NoSQL databases and messaging frameworks like Kafka) to process high volumes of security events. - **Deploy Microservices:** Integrate AI security models directly into production workflows by developing high-performance, low-latency APIs and microservices (using frameworks like FastAPI, Flask, or Django). - **Adversarial Research:** Analyze adversarial attacks, threat modeling, and secure model design to adapt our defenses under evolving threat scenarios. - **Automated Response:** Enhance automated incident response, accelerating remediation workflows to significantly reduce manual threat investigation cycles. - **Collaborative Impact:** Partner with DevSecOps and Platform teams to build MLOps pipelines and embed AI-driven protections directly into containerized environments (Docker/Kubernetes). **Who You Are** - **Skilled in Modern Tech:** You have a solid foundation in Python, SQL, and ML frameworks like PyTorch, TensorFlow, or scikit-learn. - **Experienced with Distributed Systems:** You are comfortable working with large-scale data systems, stream processing, and containerized deployments using AWS, Docker, and Kubernetes. - **Security Focused:** You bring a strong background in cybersecurity, fraud detection, trust & safety, or threat intelligence, alongside a deep understanding of secure system design and OWASP principles. - **API & Backend Specialist:** You have proven experience designing robust, scalable microservices capable of handling strict latency and reliability constraints. - **Analytical Problem-Solver:** You can effectively balance the trade-offs between rigorous security, high system performance, and a positive user experience. - **Growth Mindset:** You enjoy staying up-to-date with secure AI frameworks (such as ISO/IEC 42001 or OWASP) and exploring advanced methods like time-series anomaly detection and graph analysis. **Qualifications** - Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (Master's preferred). - 5+ years of software engineering experience, with a heavy focus on backend architecture, API design, and distributed systems. - 3+ years of experience in cybersecurity, fraud detection, trust & safety, or abuse prevention. - 2+ years of hands-on experience building and deploying machine learning models in a production environment. - High proficiency in English with strong collaboration and communication skills. - Must be based in Mexico and available to work remotely. **Why Join arrivia?** At ***arri…