Principal AI Systems Engineer

We are seeking a Principal AI Systems Engineer to join our team. As a Principal AI Systems Engineer, you will be responsible for designing and implementing the MCP integration layer, building scalable backend services, and developing and maintaining production-grade DevOps pipelines.

What you'll do

• Design and implement the MCP integration layer, including MCP registry services and MCP endpoints, enabling AI systems and agents to securely discover and interact with enterprise infrastructure tools and platforms.
• Build scalable backend services leveraging expertise in Python that power automation systems, enterprise infrastructure integrations, and AI-driven operational workflows.
• Develop and maintain production-grade DevOps pipelines, including CI/CD workflows, containerized deployments, monitoring, and reliability automation.

What you need

• 10+ years of experience in software engineering, backend development, infrastructure engineering, or platform systems.
• Strong expertise in Python and building scalable backend services, APIs, or platform integration layers.
• Experience designing MCP registry services, MCP endpoints, or similar service discovery and integration layers connecting enterprise systems.
• Strong DevOps experience, including CI/CD pipelines, containerization (Docker/Kubernetes), infrastructure automation, monitoring, and reliability practices.
• Hands-on familiarity with modern AI systems including LLM-based services, RAG architectures, or agent frameworks.