Description
Upwork Job Post Title: AI Engineer / Architect ; MCP, Agents, API Integrations & Production AI Infrastructure We are looking for a hands-on AI Engineer / AI Systems Architect to help build production-grade AI agent infrastructure. This is not a simple chatbot or demo project. We need someone who can design and build reliable, secure, cloud-native AI systems that connect agents to real business tools, APIs, workflows, and data sources. Required Skills You must have strong experience with: * Model Context Protocol * Building MCP servers * Tool schemas and agent integrations * AI agent workflows and tool use * Node.js/JavaScript and/or Python * REST APIs and OAuth2 * Token refresh, expiry handling, and rate-limit handling * Structured data reads/writes * Retries, queues, idempotency, and deduplication * Cloud deployment: AWS Lambda, GCP Functions, Cloud Run, or containers * Secrets management and secure credential storage * Git, CI/CD, automated testing * Logging, observability, audit trails, and alerting What You Will Build You will help design and implement systems where AI agents can safely interact with business tools and APIs. The system must be: * Secure * Reliable * Deterministic * Testable * Auditable * Cloud-native * Not dependent on one local machine We care about production quality: evals, regression testing, failure recovery, structured outputs, clear error handling, and repeatable workflows. Bonus Experience Highly valued: * Anthropic Claude API * Claude tool use /