Software Engineer II - AI Transformation Engineering at Abnormal AI

Working at Abnormal AI places you at the forefront of AI‑enabled cybersecurity, a niche where demand outpaces supply and innovation cycles are rapid. As a member of the AI Transformation Engineering team, you’ll contribute to Nora, a proprietary AI platform that automates threat detection and response, giving you exposure to cutting‑edge ML model deployment while building robust, production‑grade services that directly protect enterprises. Beyond the technology, Abnormal AI’s hybrid model in Bangalore offers a balanced blend of collaborative office culture and flexible remote work, fostering continuous learning through mentorship, hackathons, and cross‑team knowledge sharing. The startup’s aggressive growth trajectory translates into accelerated career progression, equity participation, and the chance to shape core product architecture from day one—making it an ideal springboard for engineers aiming to become future AI and security leaders.

Prepare a deep dive into your most recent backend project: be ready to discuss service design, API contracts, scalability decisions, and how you handled failures or latency. The interviewers will probe your ability to translate AI model requirements into production‑ready code, so review common model‑serving patterns (e.g., REST vs gRPC, batch vs streaming) and be prepared to sketch a high‑level architecture that integrates Docker, Kubernetes, and a cloud provider. Brush up on core CS fundamentals—especially data structures, algorithms, and concurrency—by solving problems that mimic real‑world security scenarios (e.g., rate‑limiting, event correlation). Additionally, showcase your soft skills: illustrate how you’ve collaborated with data scientists or security analysts, communicated trade‑offs, and contributed to Agile ceremonies. Demonstrating a blend of technical depth and cross‑functional empathy will set you apart for this AI‑focused engineering role.