Abnormal AI currently has 12 active AI-related job listings. The majority of these roles, 50%, are focused on agents, with serving infrastructure accounting for another 33%. Engineering is the dominant function, with 10 roles, and hiring is primarily concentrated in the United States. Frequent technology tags include model serving, agent orchestration, and LLM observability, suggesting a focus on deploying and managing AI models. In the last 30 days, Abnormal AI has added 6 new AI roles, a 100% increase from the previous 30-day period.
Currently tracking 8 active AI roles, with 33 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $142k–$259k (avg $190k).
Abnormal AI currently has 9 active AI-related roles in our index. The most common open titles are: Software Engineer II - Model Platform (2), Machine Learning Engineer II, Machine Learning Engineer II - Behavioral Security Products, Senior Engineer, Enterprise Platforms, Senior Marketing Data Analyst. Most positions are in Engineering and Product.
Abnormal AI's active AI hiring is concentrated in: agents (56%), application (22%), serving infrastructure (22%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Abnormal AI is hiring AI talent in: United States (7 roles), United Kingdom (1 role), India (1 role).
Job postings at Abnormal AI most frequently reference: model serving, agent orchestration, inference infra, rag, tool use.
In the past 30 days, Abnormal AI has posted 2 new AI-related roles. That is a -67% change versus the prior 30 days (6 → 2).
| Title | Stage | AI score |
|---|---|---|
| Senior Engineer, Enterprise Platforms Senior Engineer, Enterprise Platforms to build and operate AI agents, copilots, and automations for IT and security functions. The role involves turning policies into AI workflows, integrating with enterprise platforms, and ensuring governance, evaluation, and observability for AI services. | Agent | 7 |
| Machine Learning Engineer II Machine Learning Engineer II to join the Message Detection - Attack Detection team, focusing on building a high-recall detection engine for cybersecurity threats. The role involves designing and implementing systems that combine rules, models, and feature engineering to improve detection efficacy, working with automated retraining pipelines, and analyzing data to identify and address capability gaps. The goal is to protect customers from evolving cyber adversaries by operating detection systems at high recall and low latency. | Ship |
| 7 |