AI Engineer – MCP Server Development | Senior

Location: Mexico
Type: Contractor
Duration: 3 months
Work arrangement: Remote

We are looking for a Senior AI Engineer / Backend Engineer to join a small engineering team building production-grade Model Context Protocol (MCP) servers that connect enterprise systems with internal AI and LLM applications.

This role is highly hands-on and focused on Python backend development, enterprise API integrations, Kubernetes, and AI/LLM tool integrations. You will build custom integration services on top of an established platform, connecting systems such as CRM, project management, and data platforms to AI applications.

Responsibilities

- Design and develop MCP servers in Python using the MCP SDK and established engineering frameworks.
- Define tool specifications, including tool sets, authentication requirements, rate limits, pagination, and data-handling rules.
- Build robust asynchronous API clients for enterprise SaaS and data platforms, including authentication, retries, backoff, rate limiting, pagination, and error handling.
- Design clear, model-friendly tool interfaces using Pydantic schemas and iterate based on LLM evaluation results.
- Integrate services with existing OAuth and authentication mechanisms, ensuring secure handling of credentials and secrets.
- Implement caching and quota-protection strategies for third-party APIs.
- Develop unit and integration tests using pytest, including testing against sandbox environments.
- Support security practices such as least-privilege access, audit logging, protection of write/destructive actions, and secure handling of untrusted data.
- Deploy and operate services on Kubernetes, working with Helm or Kustomize and established CI/CD pipelines.
- Configure and work with observability tools such as structured logging, metrics, and distributed tracing.
- Create technical specifications and documentation for the services you build.




- Collaborate with engineers and stakeholders to take integrations from design through production deployment.

Requirements

- 5+ years of professional backend development experience, including at least 3 years working with Python.
- Strong experience with Python, asynchronous programming, typing, and Pydantic.
- Proven experience integrating third-party REST APIs in production, including authentication, pagination, rate limiting, webhooks, and error handling.
- Working knowledge of OAuth 2.0, including authorization flows, token refresh, and scopes.
- Hands-on experience deploying and operating services with Kubernetes, including containers, Helm or Kustomize, health probes, and basic autoscaling concepts.
- Experience working with CI/CD pipelines in a production environment.
- Strong testing practices with pytest, mocking, and integration testing.
- Experience with observability concepts and tools such as Prometheus, OpenTelemetry, structured logging, or equivalent technologies.
- Strong written communication skills and the ability to create clear technical specifications and documentation.

Nice to have

- Hands-on experience with MCP, LLM tool/function calling, AI agents, or AI integrations.
- Experience integrating enterprise platforms such as Salesforce, Jira/Atlassian, Snowflake, ServiceNow, Workday, or similar systems.
- Experience with Vault, External Secrets Operator, or other enterprise secrets-management solutions.
- Experience using Redis or similar technologies for caching.
- Familiarity with prompt-injection risks and secure patterns for LLM-facing applications.
- Experience working with enterprise security reviews and least-privilege access models.

Why join us?

- Competitive compensation paid in USD.
- 100% Remote.
- Paid Time Off: 12 PTO days per year.
- Local Holidays: All official holidays in your country.
- Birthday Off.
- Career Growth opportunities.
- Recognition Program.
- Paid approved leaves

📌 AI Engineer – MCP Server Development | Senior (México)
🏢 Golabs Tech
📍 México