Agent Gateway & Platform Integration Engineer
VDart Inc
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.
Vacancy posted 2 days ago
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