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# AI Engineer - MCP Server Development | Senior

- **Company:** GoLabs Inc.
- **Location:** Mexico, MO, United States (Remote available)
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, JIRA, Audit Trail, User Authentication, Python (Programming Language), OAuth, Redis, Mockito, Prometheus, Salesforce.Com, Systems Integration, Data Logging, Large Language Models, Snowflake, Grafana, Caching, Backend, Agentic-AI, Rate Limiting, Pytest, Integration Tests, Kubernetes, Atlassian Tools, Data Management, Asynchronous Programming, Evaluation of Large Language Models, Invoking Functions, Restful APIs, Pagination, Webhooks, Dynatrace, Workday, Servicenow
- **Published:** October 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=bc937d1caa4cc711

## About the Role

* 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.

## Description

* 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.