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Shrive Technologies

Golang Developer

Shrive Technologies
United States · Full-time · Not Applicable
  • Applied Agentic AI engineering experience: evidence of building Agentic workflows - ideally delivered into a real project.
  • Modern multi-agent architecture experience: hands-on designing/implementing systems where multiple AI Agents collaborate.
  • Strong understanding of agentic frameworks/tools: candidates must be able to name the frameworks used, explain why chosen, and describe components.
  • Protocols knowledge with practical relevance: working knowledge (preferably applied) of MCP, A2A, ACP-and ability to explain how they're used in real-world AI Agent systems.
  • Architecture & design contribution capability: candidate should be able to contribute to solution architecture, discuss trade-offs/pros-cons, and guide design decisions for agentic systems.
  • Design and develop scalable data engineering solutions on Google Cloud Platform using Golang
  • Build and maintain high-performance data pipelines and processing systems
  • Work closely with architects and cross-functional teams to implement cloud-native data solutions
  • Ensure data quality, reliability, and performance across data platforms
  • Contribute to best practices, standards, and optimization of data workflows

Key Skills

Ranked by relevance

ai cloud google cloud platform
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United States

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Posted
Apr 24, 2026
Type
Full-time
Level
Not Applicable
Location
St Louis
Company
Shrive Technologies

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

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