Software Engineer - Backend - Behavioral Security Products

Abnormalsecurityjunior

In short

→Desarrollas sistemas backend escalables y de IA para proteger contra amenazas de identidad.
→Trabajas con modelos de ML, agentes de IA y APIs en un entorno de alta disponibilidad y bajo latencia.
→Destaca el enfoque en ingeniería de agentes de IA y uso de herramientas GenAI en el flujo de trabajo.

Proficiency in English required for collaboration and documentation.

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What they ask for

✓Experiencia en desarrollo backend con Python o Go.
✓Conocimiento sólido de diseño de sistemas y arquitectura escalable.
✓Experiencia con APIs, servicios REST y frameworks de backend.
✓Interés y curiosidad por IA generativa y sistemas agenticos.
✓Capacidad para escribir código limpio, testeable y resiliente.
✓Comunicación efectiva en entornos asíncronos y distribuidos.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonGoREST APIsML systemsLLM APIsAgent frameworksGenAI coding assistantsPromptsTool/function-callingMonitoring

Who should you write to at Abnormalsecurity?

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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. 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. About The Team 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. About The Role 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. What You'll Do Technical Delivery & Excellence • Design, build, and iterate on scalable backend and ML systems, APIs, frameworks, and internal tools. • Take ownership of well-scoped features and components, with guidance from senior engineers on more complex, cross-system work. • Contribute to the stability, reliability, and operational excellence of critical systems. • Write clean, testable, and resilient code with attention to edge cases and performance. • Contribute to technical design documents and participate in design discussions. • Participate in code and design reviews, and contribute to on-call rotations. AI Engineering & Agents • Help design and build LLM-powered features and agentic workflows (e.g., automated investigation, triage, or remediation assistants) as part of the ATO platform. • Integrate LLM APIs and agent frameworks into backend services, with attention to reliability, cost, latency, and evaluation. • Contribute to prompt design, tool/function-calling integrations, and guardrails for AI-driven components under senior engineer guidance. • Use GenAI coding assistants and agents as part of your own development workflow to accelerate delivery and testing. Collaboration & Growth • Collaborate with product managers, designers, and engineers to align on specifications and priorities. • Break down well-defined projects into clear executable steps and drive them to completion. • Contribute to roadmap discussions and share ideas for technical improvements. • Communicate effectively in an async-first environment, providing clarity on updates, challenges, and solutions. • Actively seek feedback and mentorship from senior engineers to accelerate your growth. What We're Looking For • Ownership & Growth: A proactive engineer who takes ownership of assigned work and is eager to grow into increasingly complex projects. • Attention to Detail: Strong focus on code quality, reliability, monitoring, and performance. • Solid Fundamentals: Good grounding in system design principles, with a growing ability to reason about scaling and reliability tradeoffs. • Strong Collaborator: Comfortable working cross-functionally and in a distributed environment. • AI & Agent Engineering Curiosity: Genuine interest in LLM-powered features and agentic systems, and proactive in leveraging modern d

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