Augury
Vertical AI · Predictive maintenance
Vertical AI · Predictive maintenance
Currently tracking 3 active AI roles, up 57% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Augury currently has 3 active AI-related roles in our index. The most common open titles are: Experienced AI Applied Scientist, Experienced AI Software Engineer , Experienced AI/ML Applied Researcher. Most positions are in Engineering.
Augury's active AI hiring is concentrated in: agents (100%). 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 (3 roles).
Job postings at Augury most frequently reference: agent orchestration, llm observability, rag, vector db, fine tuning.
In the past 30 days, Augury has posted 3 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Experienced AI Applied Scientist This role focuses on building agentic applications using LLMs and various data sources for industrial AI. The scientist will own the algorithm lifecycle from problem definition to production deployment, leveraging cloud platforms and modern AI technologies like GenAI, transformers, and vectorization for insight and recommendation systems. | AgentData | 9 |
| Experienced AI/ML Applied Researcher Augury is seeking an experienced AI/ML Applied Researcher to develop and deploy advanced AI models for industrial manufacturers. The role involves owning the algorithm lifecycle, researching and building models from various data sources (time-series, text, images), and working with LLMs and agents. The ideal candidate has an M.Sc. or Ph.D. with 4+ years of ML application experience, proficiency in Python, and experience with ML ops infrastructure. | AgentPost-train | 8 |
| Experienced AI Software Engineer Experienced AI Software Engineer to join a GenAI Infrastructure team, focusing on building production-grade GenAI capabilities and the underlying infrastructure. The role involves hands-on engineering for AI agents, RAG pipelines, tool-calling workflows, backend services, data access, evaluation, and observability, with a strong emphasis on shipping and operating reliable AI-powered systems in production. | AgentServe | 8 |