Software Engineer 2 - GenAI

Enterprises of all sizes trust Abnormal Security’s cloud products to stop cybercrime. Stopping cybercrime requires agility, adaptability, and innovation, particularly in applying AI to adversarial challenges.

The Gen AI Group (GAI) is developing next-generation AI-powered solutions that transform both our customer-facing products and internal applications. As a Software Engineer II in GAI, you’ll contribute to building and deploying advanced AI systems, working closely with senior engineers and technical leaders to deliver impactful solutions. This role provides the opportunity to work hands-on with cutting-edge AI/ML technologies, deepen your expertise, and grow toward greater technical ownership.

• Passionate about applying AI to solve meaningful, real-world problems.
• Excited to learn from experienced engineers while taking ownership of components and features.
• Comfortable working in dynamic environments and iterating quickly.
• Collaborative and eager to work across teams to deliver high-quality solutions.
• Motivated to grow your technical depth and broaden your exposure to AI-driven backend systems.

• AI Application Development: Build and integrate AI models, services, and pipelines into production systems, ensuring reliability and performance.
• Collaboration: Partner with senior engineers, product managers, and stakeholders to translate requirements into technical solutions.
• Prompt & LLM Engineering: Apply prompt engineering best practices and build applications on top of LLMs, agents, and Retrieval-Augmented Generation (RAG).
• Backend Development: Contribute to backend systems and services that power AI-driven features.
• Operational Excellence: Write clean, maintainable code, participate in code reviews, and follow best practices for testing, monitoring, and deployment.
• Continuous Learning: Stay up-to-date with advancements in AI and bring ideas back to the team.

• 2+ years of experience with Python.
• Experience building and operating complex backend systems, services, or data pipelines.
• Hands-on experience with using(e.g., ChatGPT, Claude, Cursor).
• Experience with modern LLM platforms and libraries such as OpenAI/Anthropic API, Langchain, etc.
• Strong understanding of prompt engineering principles and practical experience building on top of LLMs and RAG.

• Experience with technologies in our stack (e.g., Airflow, Elasticsearch, REST APIs).
• Familiarity with CI/CD, DevOps, and infrastructure best practices.
• Experience with or interest in AI evangelism—sharing knowledge through documentation, workshops, or technical sessions.

#LI-ML1