AI Integration Engineer for Enterprise MCP Services

Entellux group; United States; Remote; MXN 650,000 - 900,000; Full time

Job summary

Entellux group is seeking a backend engineer to design and implement MCP servers in Python atop the existing internal framework. You will define per-server specifications, build robust async API clients, and map downstream errors to MCP responses. The role emphasizes secure credential handling, rate limiting, and thorough testing.

You will deploy through the Kubernetes pipeline, contribute to the catalog documentation, and collaborate with stakeholders to deliver pilot servers within two weeks.

Qualifications

• 5+ years of backend development experience, with 3+ years in Python (async programming, typing, Pydantic).
• Strong track record integrating third-party REST APIs at production scale: authentication flows, pagination, rate limiting, webhooks, and error-handling patterns.
• Working knowledge of OAuth 2.0 concepts sufficient to consume an internal auth abstraction correctly.
• Hands-on experience deploying and operating services on Kubernetes and working within CI/CD pipelines.
• Solid testing discipline: pytest, mocking external APIs, integration testing against sandbox environments.
• Experience with observability tooling (structured logging, Prometheus metrics, OpenTelemetry tracing).
• Strong written communication — this role produces specs and catalog documentation.

Responsibilities

• Design and implement MCP servers in Python using the MCP SDK on the existing internal framework.
• Define per-server specifications: 5–10 tools, identity and auth model, rate-limit/quota strategy, and pagination/truncation rules.
• Build robust async API clients for enterprise SaaS and data platforms with retries and error mapping.
• Define tool interfaces with Pydantic schemas; iterate based on LLM evaluations.
• Integrate with OAuth abstraction layer and secrets management; avoid handling raw secrets.
• Implement caching, internal rate limiting, and quota-protection for metered APIs.
• Write unit and integration tests and participate in LLM eval passes.
• Support security reviews with least-privilege scope, audit logging, and prompt-injection safeguards.
• Deploy via Kubernetes pipeline; configure dashboards and alerts; support two-week pilot rollouts.
• Document servers in the internal catalog and contribute improvements to the framework.

Tools

FastMCP

httpx

Prometheus

OpenTelemetry

Helm

Job description

Entellux group is seeking a backend engineer to design and implement MCP servers in Python atop the existing internal framework. You will define per-server specifications, build robust async API clients, and map downstream errors to MCP responses. The role emphasizes secure credential handling, rate limiting, and thorough testing.

You will deploy through the Kubernetes pipeline, contribute to the catalog documentation, and collaborate with stakeholders to deliver pilot servers within two weeks.