We’re seeking a Staff Software Engineer to help power the future of agentic AI workflows. You’ll take our MCP Server to the next level, turning it into an enterprise-grade service that lets diverse tools and systems be exposed effortlessly to AI agents. Looking ahead, you’ll also help architect the MCP Gateway—a new layer that will route requests across tools, enforce policies, and provide the runtime foundation for scalable multi-agent systems. Along the way, you’ll tackle challenges in scalability, performance, and developer experience to ensure our platform feels seamless, powerful, and enterprise-ready.

About the Team

The Graph DX AI Runtime Team builds and maintains the MCP Server and Gateway—the backbone of agent-to-tool communication and the routing layer that keeps everything flowing. We make it simple for developers to wire up agents, orchestrate workflows, and scale interactions reliably. Our focus is on speed, security, and seamless integration, so teams can spend less time managing infrastructure and more time building intelligent experiences.

What You'll Do

Architect and scale an enterprise AI/MCP Server and Gateway that powers multi-agent workflows across Apollo, including routing, orchestration, and integration boundaries.
Design and implement robust server infrastructure to ensure reliability, performance, and security at scale.
Build and maintain tools for agent discovery, communication, and coordination.
Define deployment strategies and runtime optimizations to maximize efficiency and minimize operational overhead.
Develop frameworks and patterns that enable seamless multi-agent collaboration and AI-driven orchestration.
Integrate observability, logging, and monitoring for full visibility into server and agent behavior.
Explore and implement AI-enhanced developer workflows to optimize orchestration and agent interactions.
Collaborate with teams across Apollo to ensure the MCP Server meets evolving product and developer needs.

Technical Challenges You'll Tackle

Architect and scale the MCP Gateway—Apollo’s routing layer for agentic workflows—ensuring tools and services can be discovered, invoked, and orchestrated reliably across diverse environments.
Design and implement high-performance routing infrastructure with reliability, scalability, and security at its core.
Build and maintain routing patterns and coordination mechanisms that let agents interact with the right tools at the right time.
Define deployment strategies and runtime optimizations to minimize latency and operational overhead.
Explore and implement AI-driven routing strategies to optimize context retrieval, reduce cost, and improve decision accuracy.
Collaborate with teams across Apollo to ensure the MCP Server and Gateway integrate seamlessly with Apollo’s control plane for AI tools.
Integrate observability and monitoring into the routing layer to provide full visibility into traffic flows, tool availability, and