AI Engineer (MPC + Agents)

• Core Development: Strong proficiency in Python with deep knowledge of async/await patterns
• Solid experience with FastAPI and REST API design
• MCP Specialization: Proven experience building MCP servers (critical requirement)
• Hands-on experience with FastMCP framework
• Data & Storage: Proficiency with Relational Databases (SQL) and Key-Value stores (Redis)
• Security (IAM): Deep understanding of AuthN/AuthZ protocols. Experience with OAuth2, Azure Entra ID/SSO, and JWT token handling
• Architecture: Familiarity with Distributed Systems and Event-Driven Architecture
• Experience with Docker and containerization principles
• Soft Skills: Strong problem-solving capabilities. Ability to work independently and communicate technical concepts clearly

Nice to have:

• MCP Ecosystem: Orientation in the broader ecosystem of MCP applications and clients
• AI Frameworks: Experience with AI/LLM agent frameworks such as LangGraph, LangChain, or Langfuse
• DevOps: Familiarity with Azure CI/CD pipelines and GitHub Actions
• Observability: Knowledge of Datadog or similar platforms for logging and monitoring
• Modern Practices: Prior exposure to "Vibe" coding practices (AI-assisted iterative coding)

• Build MCP Servers: Design, build, and maintain high-performance servers using the FastMCP framework, ensuring reliability and maintainability
• REST API Design: Design and implement RESTful APIs with strict adherence to OpenAPI/Swagger standards, focusing on proper endpoint structure and error handling
• Async Programming: Write clean, efficient Python code utilizing asyncio and httpx for non-blocking I/O operations
• Orchestration Systems: Implement and extend agentic workflow orchestration systems, utilizing
• Event-driven architectures and webhook integrations
• State Management: Leverage Redis for distributed state persistence, caching strategies, and TTL-based data management
• System Reliability: Troubleshoot and debug complex issues across the distributed system stack to ensure uptime and performance
• Enterprise Security: Implement robust security features, including OAuth2 flows, Azure Entra ID (SSO) integration, and secure JWT token validation
• Testing & QA: Build and maintain comprehensive test suites (unit, integration, and E2E) using pytest and pytest-asyncio
• Containerization: Containerize applications using Docker and manage local/prod environments via docker-compose and Azure pipelines