AI Integration Architect

Everest Technologies, Inc; Columbus (OH); On-site; USD 120,000 - 190,000; Full time

Job summary

Everest Technologies, Inc. is seeking a forward-thinking Developer to lead our AI enablement strategy. You will transform our API ecosystem into a machine-readable Agent Mesh, using C#/.NET and the MCP standard to securely expose data to AI models via the Gravitee gateway.

Responsibilities include designing MCP servers, managing API governance with Gravitee, implementing OAuth 2.1-based security, and orchestrating AI model access across enterprise resources. Python knowledge is advantageous.

Qualifications

• Proven backend development experience with C#/.NET and RESTful APIs.
• Hands-on MCP experience to connect AI models with data sources.
• Strong knowledge of Gravitee API Management and MCP Server tooling.
• Familiarity with OpenAPI, Swagger and asynchronous event-driven patterns.

Responsibilities

• Design and build MCP servers exposing internal data to LLMs.
• Turn REST APIs into AI-ready tools using Gravitee and OpenAPI specs.
• Implement MCP authentication using OAuth 2.1 and Gravitee AM.
• Configure Gravitee MCP Server apps to centralize AI model access.
• Monitor and debug agent-API interactions for reliability.

Skills

C# / .NET

AI tooling

prompt engineering

LLM tooling

agent mesh architectures

Python

REST

OpenAPI/Swagger

Tools

Gravitee API Management

MCP Server

OAuth 2.1

OpenFGA

OpenAPI specifications

Job description

We are looking for a forward-thinking Developer to lead our AI enablement strategy. You will be responsible for transforming our existing API ecosystem into a machine-readable "Agent Mesh." Using C#/.NET and the Model Context Protocol (MCP), you will build and manage the infrastructure that allows AI agents (like Claude or custom autonomous agents) to securely discover, interact with, and execute business logic through our Gravitee API gateway.

• Key ResponsibilitiesMCP Server Development: Design and build custom MCP servers using C# and .NET to expose internal data and tools to LLMs.
• API Management & Governance: Use Gravitee 4.9+ MCP Server capabilities to turn standard REST APIs into AI-ready tools via OpenAPI specifications.
• Security & Authorization: Implement MCP Authentication using OAuth 2.1 and Gravitee Access Management (AM) to ensure AI agents operate within secure boundaries.
• Orchestration: Configure Gravitee's native MCP Server application types to centralize how various AI models access enterprise resources.
• Observability: Monitor agent-to-API communications using Gravitee to debug tool calls, apply rate limits, and ensure the reliability of agentic workflows.
• Technical QualificationsExpertise in C# / .NET: Deep experience building robust back-end services, SDKs, and integration layers.
• Model Context Protocol (MCP): Hands-on experience with the MCP standard for connecting AI models to external data sources.
• Gravitee Ecosystem: Proficiency in Gravitee API Management (APIM), including policy design, security plans, and the new MCP Tool Server.
• API Standards: Expert knowledge of REST, OpenAPI/Swagger, and asynchronous event-driven architectures.
• Python: Good knowledge of Python is a great plus.
• AI Knowledge: Understanding of LLM "tooling" (function calling), prompt engineering, and the lifecycle of autonomous AI agents.
• Preferred SkillsExperience with OpenFGA or fine-grained authorization for agentic systems.
• Familiarity with Agent Mesh architectures.
• Contributions to open-source MCP servers or AI integration frameworks.