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Currently tracking 8 active AI roles, with 14 new openings in the last 4 weeks. Primary focus: Agent · Engineering.

Hiring
8 / 10
Momentum (4w)
·0 0%
14 opens last 4w · 14 prior 4w
Salary range
—
Tracked since
8w ago
last role yesterday
Hiring velocityscroll left for older weeks
1 new role
Jan 27
1 new role
Aug 18
1 new role
Feb 9
3 new roles
23
2 new roles
Mar 2
1 new role
9
2 new roles
30
3 new roles
Apr 20
2 new roles
May 4
4 new roles
11
4 new roles
18
4 new roles
25
7 new roles
Jun 1
4 new roles
8
1 new role
15
2 new roles
29
Augury

Augury

Vertical AI · Predictive maintenance

Frequently asked questions

  • What AI roles is Augury hiring for?

    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.

  • What stage of AI development does Augury focus on?

    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.

  • Where is Augury hiring AI talent?

    Augury is hiring AI talent in: Israel (6 roles), United States (1 role).

  • What skills does Augury look for in AI roles?

    Job postings at Augury most frequently mention: Manufacturing, Predictive Modeling, Machine Learning, Generative AI, Agentic Systems.

  • How many AI roles has Augury posted recently?

    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).

Jobs (1)

8 AI · 22 total active
FilteredStageServe×FunctionEngineering×Clear all
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Active onlyAI only (≥ 7)
Stage
AllData · 3Serve · 1Agent · 8Ship · 2
Function
AllEngineering · 16Product · 6
Country
AllIsrael · 6United States · 6Europe · 1
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TitleStageFunctionLocationFirst seenAI score
ML Ops Engineer
MLOps Engineer role focused on building and operating scalable ML and AI systems for Industrial AI. Responsibilities include designing and evolving MLOps capabilities across the full ML lifecycle, building systems for experiment tracking and reproducibility, developing reusable platform tooling, and building operational infrastructure for LLM and agentic systems. Requires strong Python engineering skills and experience with ML platform and MLOps frameworks.
ServeAgentEngineeringBengaluru India3w ago7