Agent Gateway & Platform Integration Engineer

Role: Agent Gateway & Platform Integration Engineer

Location: Charlotte, NC (Onsite)

Type: Contract

Position Summary

• The Agent Gateway & Platform Integration Engineer will build governed model routing, agent-to-agent connectivity, MCP integrations, reusable connectors, SDK migration utilities, and platform integration patterns that enable scalable Agentic AI development on Tachyon.
• This is a hands-on engineering role focused on production-grade services and enterprise integration.

Key Responsibilities:

• Design, build, test, and maintain integration services for Agent Gateway and related platform capabilities.
• Implement MCP connectivity, agent-to-agent interaction patterns, reusable tools, and enterprise system integrations.
• Build governed model routing, API-based services, SDK utilities, and reusable integration patterns.
• Implement authentication, authorization, auditability, observability, resilience, and automated testing controls.
• Collaborate with Product Owners, architects, security, and platform teams to deliver production-ready capabilities.
• Support CI/CD, code quality, documentation, troubleshooting, and operational readiness.
• Help migrate or standardize existing SDK/integration patterns into reusable Tachyon platform capabilities.

Required Qualifications:

• 7+ years of software engineering experience with enterprise platforms, integration services, APIs, or cloud-native applications.
• 7+ years of Strong hands-on Python development experience.
• 7+ years of Experience building REST APIs, SDKs, reusable libraries, integration services, or platform services.
• 7+ years of Experience with CI/CD, Git, automated testing, containers, and production operations.
• Understanding of authentication, authorization, logging, monitoring, and secure integration patterns.

Required Skills / Knowledge:

• Python, REST APIs, SDK design, MCP concepts, agent interoperability, integration architecture, CI/CD, automated testing, and cloud-native engineering.
• Hands-on experience or strong working knowledge of LangChain, LangGraph, Google ADK, or similar Agentic AI frameworks.
• Observability, telemetry, resilience, API security, and production troubleshooting.

Preferred Qualifications:

• Experience with enterprise AI platforms, GenAI applications, RAG systems, multi-agent systems, or developer platforms.
• Kubernetes, cloud platforms, event-driven integrations, and regulated enterprise delivery experience.
• Banking or financial services experience.

Expected Outcomes:

• Production-ready integration services and reusable connectors.
• Governed MCP and agent connectivity patterns.
• Improved model routing, platform integration, and SDK adoption.