Software Engineer II

About the role

Abnormal AI protects major global enterprises from sophisticated email and collaboration-based attacks. The Threat Narrative team is responsible for translating complex detection signals into clear, actionable insights for our customers. You will build end-to-end features that help users understand and respond to threats using GenAI and LLM-powered systems.

Key facts

What you'll do

• Build and maintain fullstack features for the customer portal, internal analyst tools, and QBR-facing outputs.
• Develop APIs and services that transform attack data and LLM outputs into user-facing narratives.
• Create data models and contracts to ensure threat decisions are explainable and intuitive.
• Write and maintain production-grade Python/Django and React/Typescript code.
• Manage service reliability through observability, alerting, and incident response.
• Partner with Product, Data Science, and Threat Intelligence teams to refine the user experience of our detection platform.
• Participate in code reviews and contribute to system architecture improvements.

Requirements

• 2+ years of professional experience shipping fullstack web applications in cloud-native environments.
• Proficiency in Python and Django or similar backend frameworks.
• Experience with relational databases such as Postgres.
• Ability to build modern, data-heavy frontends using React and Typescript.
• Experience designing APIs and data models for complex applications.
• Familiarity with debugging production systems using logging, metrics, and tracing.
• Experience with AI development tools.
• Bachelor's degree in Computer Science, Information Systems, or equivalent practical experience.

Nice to have

• Experience integrating LLM or GenAI features into production workflows.
• Background in cybersecurity, specifically email or collaboration security.
• Exposure to big data tools like Spark, Databricks, Airflow, or Kafka.
• Experience working on cross-functional initiatives involving shared components or data contracts.

Skills & tools

• Python, Django, React, Typescript, Postgres, LLM/GenAI frameworks, Cloud-native environments, Observability tools.

Practical notes

• This role is subject to U.S. Export Administration Regulations (EAR); candidates must be eligible to access controlled technology under U.S. export control laws.
• Compensation includes base salary, bonus or incentive pay, and equity.
• The hiring process includes identity verification and pre-employment checks.
• Abnormal AI uses AI-assisted tools to help recruiters prepare for interviews, but all hiring decisions are made by humans.