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Currently tracking 489 active AI roles, up 170% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$505k (avg $233k).

Hiring
489 / 489
Momentum (4w)
↑+622 +170%
987 opens last 4w · 365 prior 4w
Salary range · avg $233k
$98k–$505k
USD · disclosed roles only
Tracked since
Jan '25
last role today
Hiring velocityscroll left for older weeks
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11

Jobs (7)

489 AI · 1524 total active
FilteredFunctionEngineering×CountryIsrael×Clear all
Show
Active onlyAI only (≥ 7)
Stage
AllData · 14Pretrain · 19Post-train · 28Serve · 126Agent · 205Eval Gate · 15Ship · 82
Function
AllEngineering · 407Research · 50Product · 32
Country
AllUnited States · 301India · 45Singapore · 33United Kingdom · 21Canada · 17Switzerland · 16Poland · 15Taiwan · 11Israel · 7Mexico · 5Brazil · 4Australia · 3France · 3Japan · 3Spain · 3Sweden · 2Chile · 1China · 1Germany · 1Hong Kong · 1Romania · 1South Korea · 1
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AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Forward Deployed Engineer II, GenAI, Google Cloud
Forward Deployed Engineer II, GenAI, Google Cloud - This role involves building and deploying bespoke agentic AI solutions for enterprise customers, managing integration complexities, data readiness, and state management. The engineer will act as a builder-consultant, transitioning prototypes to production, architecting connective tissue between AI products and customer infrastructure, and building evaluation and observability pipelines. The role also involves identifying field patterns to inform product roadmaps and mentoring talent.
AgentServeEngineeringTel Aviv, Israel1w ago9
Staff Data Scientist, GenAI and Agentic SOC
Staff Data Scientist role focused on Generative AI and Agentic Security Operations Center (SOC). The role involves driving ML/AI initiatives, building and scaling infrastructure for developing, fine-tuning, and deploying autonomous security agents, and creating testing/evaluation methodologies for LLMs and agentic workflows in security environments. Collaboration with cross-functional teams and mentoring are also key aspects.
AgentEval Gate
Engineering
Ramat Gan, Israel +1
4w ago
9
Software Engineer III, Duplex
Software Engineer III at Google working on the Duplex product, which involves building phone conversation bots. The role requires creating datasets, evaluating AI model quality, and building Python backends for communication within the Geo ecosystem. Collaboration with other engineering teams across Geo, Search, and Research is expected to advance Duplex capabilities.
AgentDataEngineeringTel Aviv, Israel2d ago7
Staff Software Engineer, Google Cloud Storage, AI/ML
Staff Software Engineer at Google Cloud Storage, focusing on building and optimizing storage solutions for AI/ML workloads, bridging core storage infrastructure with the demands of training and inference.
ServeDataEngineeringTel Aviv, Israel1w ago7
Senior Software Engineer, Google Cloud, Generative AI, Blackbelt
Senior Software Engineer, Google Cloud, Generative AI, Blackbelt role focused on helping customers adopt and integrate Google's Generative AI solutions, including AI Agents and Gemini Enterprise. The role involves understanding customer needs, providing technical expertise, developing integration strategies, and supporting developers in leveraging Generative Language APIs. It requires experience in software development, Python, data science/ML, and specifically with GenAI and AI Agents.
AgentEngineeringTel Aviv, Israel1w ago7
Technical Lead, Google Cloud Security
Technical Lead for Google Cloud Security, focusing on transitioning to an AI-native Security Operations Center (SOC). The role involves architecting an Agent Engine and universal APIs for enterprise security teams to orchestrate defense at machine speed, shifting from static workflows to multi-agent ecosystems. Requires strong software development, ML design, and architecture experience, with a focus on AI/ML integration into enterprise products.
AgentServeEngineeringRamat Gan, Israel +13w ago7
SoC Vision Architect, Silicon, Google Cloud
This role focuses on architecting the hardware (SoC Vision Architect) for AI/ML applications, specifically Tensor Processing Units (TPUs) and their associated imaging pipelines (ISP, CODECS). The goal is to define custom silicon solutions that power Google's demanding AI/ML workloads, optimizing for power, performance, and area while integrating advanced computational imaging algorithms and potentially deploying neural networks on specialized hardware.
ServeEngineeringTel Aviv, Israel +13w ago7