AI Engineer

Responsibilities

• Conception, development, and implementation of production-ready AI agent solutions
• Development of agentic applications with Python and LangGraph
• Integration of tools via the Model Context Protocol (MCP)
• Setup and optimization of RAG systems and document processing pipelines
• Processing and extraction of information from documents such as PDF, DOCX, PPTX, HTML, or XML
• Development of retrieval, chunking, and embedding strategies
• Preparation and deployment of containerized applications
• Implementation of AI and Machine Learning solutions within modern platform environments
• Ensuring quality, governance, and observability in productive AI systems

Requirements

Technologies

Python | LangGraph | MCP | FastMCP | RAG | LangFuse | Docker | GitLab CI/CD | Pydantic | AsyncIO | Pytest | Vector Databases | AI Governance | LLM Observability

• Several years of experience in development with Python
• Very good knowledge of software engineering, clean code, testing, and CI/CD
• Experience with LangGraph or comparable agent frameworks
• Knowledge in the area of Agentic AI, Tool Calling, and Prompt Engineering
• Practical experience with MCP or FastMCP
• Experience with RAG architectures and vector databases
• Confident handling of Docker and GitLab
• Experience with LangFuse or comparable observability solutions
• Fluent German language skills

Project details

asap

Until 31.12.2027

Frankfurt am Main / Remote

Utilization: Full-time

• Start: ab sofort
• Duration: 14 Monate
• Remote: remote
• Location: Frankfurt a. Main, Deutschland, DE
• Languages: German