Agent Gateway and AI – Platform and Integration Engineer

Platform And Integration Engineer

Role

Summary:

The Platform and Integration Engineer will build governed model-routing services, agent-to-agent and Model Context Protocol connectivity, SDK migration utilities, reusable enterprise integrations, and automated controls for production AI adoption.

Key Responsibilities:

• Design and build model gateways, intelligent routing services, and reusable integration components.
• Implement agent-to-agent and MCP-based connectivity patterns.
• Develop SDKs, migration utilities, APIs, adapters, and reference implementations.
• Integrate authentication, authorization, secrets management, policy enforcement, and audit controls.
• Build automated tests, CI/CD pipelines, deployment workflows, and release controls.
• Implement telemetry, tracing, metrics, logging, and operational dashboards.
• Support API lifecycle management, compatibility, versioning, and performance optimization.
• Collaborate with architecture, security, platform, and application teams.
• Troubleshoot integration, scalability, latency, reliability, and production issues.

Required Skills:

• Python and object-oriented software development.
• REST APIs, API gateways, web services, and SDK design.
• MCP, agent interoperability, and integration architecture.
• Authentication, authorization, identity, and policy controls.
• CI/CD, automated testing, and source-code management.
• Observability, tracing, logging, and production support.
• Containers, Kubernetes, and cloud-native engineering.
• Secure software-development practices.

Preferred Qualifications:

• Degree in computer science, engineering, or a related field.
• Experience with LLM gateways, agent platforms, service mesh, or API-management products.
• Cloud, Kubernetes, security, or API certification.