AI Engineer (MPC + Agents)

Responsibilities:

• 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

Requirements:

• 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)

Offer:

• Private medical care

• Co-financing for the sports card

• Training & learning opportunities

• Constant support of dedicated consultant

• Employee referral program