Python MCP Engineer: AI Integrations & Cloud Backend

Intellias; Town of Poland (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

Intellias is seeking a Python MCP Engineer to build and maintain MCP services powering integrations between AI agents, tools, and enterprise platforms. The role focuses on Python backend development, asynchronous APIs, MCP server implementation, observability, and secure cloud-native deployments on AWS.

You will design, develop, and operate secure containerized workloads on AWS with Lambda, API Gateway, and related services, while implementing observability with OpenTelemetry and maintaining API

Qualifications

• 4+ years of Python development experience.
• Experience building API-driven integrations.
• Strong understanding of distributed systems and async programming.

Responsibilities

• Design, develop, and maintain MCP servers using Python and FastMCP.
• Build API-driven integrations between AI agents and enterprise tools.
• Develop scalable backend services with FastAPI, asyncio, and Pydantic.
• Deploy and operate services on AWS (Lambda, API Gateway).
• Implement observability using OpenTelemetry (traces, metrics, logs).
• Create and maintain API contracts, schemas, and validation logic.
• Collaborate with AI platform teams to enable interoperability.
• Troubleshoot production issues and improve platform services.

Skills

Python development

API/integration engineering

AWS Lambda

APIs

OpenTelemetry

Tools

FastAPI

Pydantic

asyncio

OpenTelemetry

Job description

Intellias is seeking a Python MCP Engineer to build and maintain MCP services powering integrations between AI agents, tools, and enterprise platforms. The role focuses on Python backend development, asynchronous APIs, MCP server implementation, observability, and secure cloud-native deployments on AWS.

You will design, develop, and operate secure containerized workloads on AWS with Lambda, API Gateway, and related services, while implementing observability with OpenTelemetry and maintaining API