Sign upLog in
See more jobs

DevOps Engineer - Agentic AI

TechDigital

  • St. Louis, MO
  • 30+ days ago

    Highlights

    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. Core must-haves (screen for these explicitly)Applied Agentic AI engineering experience: evidence of building Agentic workflows - ideally delivered into a real project.

    Numbers & Facts

    LocationSt. Louis, MO
    IndustryOther/Not Classified
    Company Size100 to 499 employees

    Description

    DevOps Engineer with Agentic AI experience
    Core must-haves (screen for these explicitly)
    • 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.
    • Strong proficiency in devops practices and tools.
    • Proficient in python programming language.
    • Experience with kubernetes and containerization technologies.
    • Knowledge of ci/cd pipelines and automation tools.
    • Ability to lead and motivate a technical team effectively.
    • Excellent problem-solving and communication skills.
    • Strong analytical and decision-making abilities.
    Certifications: Relevant certifications in DevOps, python, or Kubernetes are a plus.

    Similar Jobs

    See more jobs