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.

• 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.

• 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, Open Telemetry, structured logging, or equivalent technologies
  .
• Strong written communication skills and the ability to create clear technical specifications and documentation.

• Hands-on experience with MCP, LLM tool/function calling, AI agents, or AI integrations
  .
• Experience integrating enterprise platforms such as Salesforce, Jira/Atlassian, Snowflake, Service Now, 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.
• Competitive compensation paid in USD.
• 100% Remote.
• Paid Time Off: 12 PTO days per year.
• Local Holidays:
  All official holidays in your country.