Abnormal AI

Machine Learning Engineer II for the Account Takeover Detection team at Abnormal AI, focusing on building and productionizing ML models for behavioral security and cybersecurity attack detection. The role involves data analysis, feature engineering, model development, evaluation, and monitoring of production systems within a commercial environment.

AI Product Engineer responsible for building and extending agent platform capabilities, shipping GTM tooling, and owning reliability and observability for AI agent systems in an enterprise context. The role involves working at the intersection of platform engineering and direct product delivery, enabling non-technical users to set up LLM workflows and collaborating with AI Product Managers.

Senior Engineer, Enterprise Platforms to build and operate AI agents, copilots, and automations for IT and security functions. The role involves turning policies into AI workflows, integrating with enterprise platforms, and ensuring governance, evaluation, and observability for AI services.

Senior Backend Engineer for App Foundations team at an AI-native company. This role focuses on owning core customer-centric data and platform services, including the LLM inference platform (LMS). Responsibilities include designing and operating high-performance services, leading end-to-end delivery of platform features, improving reliability and observability, contributing to the LLM inference platform (model routing, provider integrations, batch inference, safety rails), and building AI-native internal tools. The role emphasizes daily use of AI coding tools and shipping AI-powered solutions beyond IDEs. Requires strong backend engineering experience, system design, and experience with AI tools and LLM production environments.

Senior Backend Engineer for App Foundations team at an AI-native company. Owns core customer-centric data and platform services, including the LLM inference platform (LMS). Role involves designing, building, and operating high-performance services, leading end-to-end delivery of platform features, and raising the operational bar for reliability and observability. Contributes to LMS by working on model routing, provider integrations, batch/async inference, cost attribution, and safety rails. Builds AI-native internal tools for team operations. Requires strong backend engineering experience, system design, and demonstrated daily use of AI coding tools. Experience with LLMs in production is a plus.

Machine Learning Engineer II to join the Message Detection - Attack Detection team, focusing on building a high-recall detection engine for cybersecurity threats. The role involves designing and implementing systems that combine rules, models, and feature engineering to improve detection efficacy, working with automated retraining pipelines, and analyzing data to identify and address capability gaps. The goal is to protect customers from evolving cyber adversaries by operating detection systems at high recall and low latency.