Agentic AI Platform Engineer (Production)

The Intersect Group

Atlanta (GA)

On-site

USD 120,000 - 170,000

Full time

5 days ago
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Job summary

The Intersect Group seeks a Platform Engineer to design, build, and deploy Agentic AI solutions and MCP servers in production. You will develop a shared internal platform enabling engineers to build, deploy, monitor, and manage AI agents and developer tools securely at scale.

The ideal candidate will have hands-on experience architecting AI-driven platforms rather than just consuming APIs, and will help define deployment patterns, developer workflows, and secure, reliable infrastructure across

Qualifications

  • 5+ years of software or platform engineering with hands-on production work.
  • Experience developing and deploying Agentic AI solutions in real-world environments.
  • Hands-on experience designing, building, and managing MCP servers.
  • Strong Python development for AI, automation, or platform tooling scenarios.

Responsibilities

  • Design and build internal platforms supporting AI agents and MCP servers.
  • Develop and deploy Agentic AI solutions to improve productivity and efficiency.
  • Architect MCP server frameworks, integrations, and deployment patterns.
  • Create automation, monitoring, and tooling for production AI environments.
  • Build cloud-native applications and platform services in modern cloud environments.
  • Enhance CI/CD pipelines, deployment workflows, and infrastructure automation.
  • Collaborate to establish standards and reusable platform capabilities.

Skills

Agentic AI
MCP servers
Python development
Cloud platforms
REST APIs
Distributed systems
DevEx

Tools

Kubernetes
Docker
CI/CD automation
GitHub Actions

Job description

The Intersect Group seeks a Platform Engineer to design, build, and deploy Agentic AI solutions and MCP servers in production. You will develop a shared internal platform enabling engineers to build, deploy, monitor, and manage AI agents and developer tools securely at scale.

The ideal candidate will have hands-on experience architecting AI-driven platforms rather than just consuming APIs, and will help define deployment patterns, developer workflows, and secure, reliable infrastructure across

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