Currently tracking 8 active AI roles, with 14 new openings in the last 4 weeks. Primary focus: Agent · Engineering.
Vertical AI · Predictive maintenance
Augury currently has 14 active AI-related roles in our index. The most common open titles are: Software Data Engineer, Data Platform (2), AI-Native Mobile Engineer - Deployment Platform, Algorithm and Applied AI Scientist (DSP), Experienced AI Applied Scientist, Experienced AI Software Engineer . Most positions are in Engineering and Product.
Augury's active AI hiring is concentrated in: agents (57%), data (21%), application (14%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Augury is hiring AI talent in: Israel (6 roles), United States (1 role).
Job postings at Augury most frequently mention: Manufacturing, Predictive Modeling, Machine Learning, Generative AI, Agentic Systems.
In the past 30 days, Augury has posted 4 new AI-related roles. That is a -67% change versus the prior 30 days (12 → 4).
| Title | Stage | AI score |
|---|---|---|
| Team Lead, Data Platform Lead a team of Software Engineers building scalable data services and pipelines for an Industrial AI platform that powers digital twins and AI agents. This is a hands-on engineering leadership role focused on data-intensive systems, requiring strong software design, reliability, scalability, and testing standards. | DataAgent | 5 |
| Software Data Engineer, Data Platform Software Data Engineer to build production-grade data services and pipelines for an Industrial AI platform. The role focuses on designing and implementing end-to-end data flows, modeling context and relationships across industrial data, and partnering with AI teams to expose data for AI agents and AI-native experiences. Emphasis on clean architecture, reliability, scalability, and testing in a streaming, lakehouse environment. | DataAgent | 5 |
| Software Data Engineer, Data Platform Software Data Engineer responsible for building production-grade data services, platforms, and pipelines that power AI-driven products and AI agents. This role involves designing and implementing data flows for raw event ingestion, storage, and exposure of clean data for downstream consumers, with a strong focus on software engineering fundamentals, reliability, scalability, and observability. The engineer will work with modern data engineering practices, including lakehouse architectures, streaming platforms, and data modeling, to support AI-native experiences and agentic workflows. | DataAgent | 5 |