Abnormal Security
About the Role
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. About You
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. What you will do
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. Must Haves
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. Nice to Have
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. Base salary range: $148,800 — $175,000 USD Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
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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. About You
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. What you will do
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. Must Haves
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. Nice to Have
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. Base salary range: $148,800 — $175,000 USD Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
#J-18808-Ljbffr