DevOps Engineer - Agentic AI

TechDigital Group; St. Louis (MO); On-site; USD 90,000 - 120,000; Full time

Job summary

TechDigital Group is seeking a DevOps Engineer with experience in Agentic AI workflows, strong proficiency in Python, and knowledge of containerization technologies. The role involves designing multi-agent systems, contributing to architectural decisions, and leading a technical team. Ideal candidates will possess relevant certifications in DevOps, Python, or Kubernetes, along with excellent problem-solving abilities. This position is located in St. Louis, Missouri, offering the chance to work on cutting-edge AI projects.

Skills

Applied Agentic AI engineering experience

Modern multi-agent architecture experience

Strong understanding of agentic frameworks/tools

Protocols knowledge

Architecture & design contribution capability

DevOps practices and tools proficiency

Python programming

Kubernetes and containerization technologies

CI/CD pipelines and automation tools

Leadership and team motivation

Problem-solving skills

Analytical and decision-making abilities

Education

Relevant certifications in DevOps, Python, or Kubernetes

Job 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.