Software Engineer - Backend - Behavioral Security Products

<p>At Abnormal AI, we protect our customers against nefarious adversaries who are constantly evolving their techniques and tactics to outwit and undermine the traditional approaches to Security.</p> <p>Abnormal is recognized as a top cybersecurity startup (Leader in the 2025 Gartner Magic Quadrant for Email Security Platforms), securing a Series D funding of $250 million at a $5.1 billion valuation in August 2024.</p> <h2>About The Team</h2> <p>This team owns the end-to-end development and operation of the infrastructure, ML models, AI agents, customer-facing APIs, and internal tools that power Abnormal's Identity Threat Protection (ITP) product. Our work is central to detecting malicious behavior and protecting customers from advanced identity-based attacks — including account takeover, identity spoofing, data leakage, and other high-impact threats.</p> <h2>About The Role</h2> <p>We are looking for a Software Engineer to help build and evolve our platform as it scales to meet expanding product requirements. This role blends hands-on backend systems development with growing ownership of features and production systems, including AI-powered and agentic components, working closely with senior engineers to improve system reliability, reduce latency, and accelerate feature release cycles.</p> <h2>What You'll Do</h2> <p><strong>Technical Delivery &amp; Excellence</strong></p> <ul> <li>Design, build, and iterate on scalable backend and ML systems, APIs, frameworks, and internal tools.</li> <li>Take ownership of well-scoped features and components, with guidance from senior engineers on more complex, cross-system work.</li> <li>Contribute to the stability, reliability, and operational excellence of critical systems.</li> <li>Write clean, testable, and resilient code with attention to edge cases and performance.</li> <li>Contribute to technical design documents and participate in design discussions.</li> <li>Participate in code and design reviews, and contribute to on-call rotations.</li> </ul> <p><strong>AI Engineering &amp; Agents</strong></p> <ul> <li>Help design and build LLM-powered features and agentic workflows (e.g., automated investigation, triage, or remediation assistants) as part of the ATO platform.</li> <li>Integrate LLM APIs and agent frameworks into backend services, with attention to reliability, cost, latency, and evaluation.</li> <li>Contribute to prompt design, tool/function-calling integrations, and guardrails for AI-driven components under senior engineer guidance.</li> <li>Use GenAI coding assistants and agents as part of your own development workflow to accelerate delivery and testing.</li> </ul> <p><strong>Collaboration &amp; G