Software Engineer, Abnormal AI

• 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 developer productivity tools, including GenAI assistants and coding agents, to accelerate delivery
• 3-5 years of industry experience as a Software Engineer, with a track record of shipping production backend systems
• Solid backend proficiency in Python, with experience building and maintaining production systems
• Experience with system design fundamentals and building reliable, scalable applications
• Working knowledge of relational databases and modern data storage technologies
• Exposure to service-to-service communication (gRPC, Kafka) and caching (Redis) is a plus
• Experience with AWS cloud services (S3, RDS) and deployment practices
• Familiarity with containerization and orchestration (Docker, Kubernetes, Helm) is a plus
• Understanding of service health, monitoring, and incident response practices
• Comfortable writing technical documentation and contributing to design discussions

Desirable

• 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
• 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
• 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
• 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
• 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