AI Engineer / Agentic AI Developer

Project overview

We are looking for an experienced AI Engineer / Agentic AI Developer for an exciting project in the financial sector. You will design, implement, and test production-ready AI agent solutions and integrate them into existing system landscapes.

Your main tasks include the development of Agentic AI solutions with Python and LangGraph, including tool calling, MCP connections, and human-in-the-loop workflows. You will build and optimize high-performance RAG and document processing pipelines for various file formats and implement chunking, embedding, retrieval, and re-ranking methods. Furthermore, you will ensure software quality through automated tests, CI/CD pipelines, containerization, and the integration of AI Governance and LLM Observability.

We expect very solid Python knowledge and experience with professional software engineering practices such as Pydantic, AsyncIO, Pytest, Git, GitLab CI/CD, and Docker. Comprehensive practical experience with LangGraph, Agentic AI, MCP (FastMCP), and agent architectures is required. Solid knowledge in RAG, document processing, AI Governance, and LLM Observability complete the profile. Experience in the banking environment is desirable.

The project starts mid-January with a duration of at least 12 months at 100% utilization. The work location is hybrid with remote options and on-site presence. German and English are required. Fast decision-making processes and short-term interviews are possible.

Project details

• Start: Mitte Januar 2027
• Duration: 12 Monate+
• Remote: hybrid
• Location: Frankfurt, DE
• Languages: German, English