AI Engineer for Banking Industry in Frankfurt

Project overview

AI Engineer (Artificial Intelligence Engineer)

Experienced AI Engineers are sought who can develop and implement production-ready GenAI and Agentic AI solutions in corporate environments. The focus is not on classic data science profiles, but on highly technical engineers who can implement modern LLM and agent architectures end-to-end.

Responsibilities

Skills sought

Software Engineering

Agentic AI & LLM Engineering

RAG & Document Processing

Additionally, knowledge in AI Governance, LLM Observability, and tools like LangFuse is required. German is mandatory for the role.

Project start is planned for January 18, 2027, with an initial duration until the end of 2027. The location is Frankfurt with a hybrid setup. Several consultants per role are sought for the pitch.

Are you ready for a new challenge in an innovative AI environment? Then send your current CV as a Word document, stating your availability and hourly rate.

We operate as a personnel consulting company. All formulations in this advertisement are to be understood as gender- and age-neutral. We welcome applications from qualified candidates regardless of age, gender, or personal background.

• Conception, development, and testing of production-ready AI agents based on Python and LangGraph
• Development of Agent-as-Code solutions within agile AI teams
• Integration of tools and systems via the Model Context Protocol (MCP)
• Building and optimizing Retrieval-Augmented Generation (RAG) solutions
• Development of document processing pipelines for unstructured data sources such as PDF, DOCX, PPTX, HTML, XML, or XLSX
• Implementation of semantic search, embeddings, retrieval mechanisms, and re-ranking concepts
• Preparation and deployment of containerized applications in production environments
• Implementation of machine learning and AI solutions together with data scientists within the central AI platform
• Very strong Python skills
• Experience with modern Python standards (Type Hints, Pydantic, AsyncIO)
• Clean Code, Design Patterns, Testing (Pytest), Mocking
• Git, GitLab CI/CD, versioning, and Docker containerization
• Profound LangGraph experience
• Experience with agent architectures, state machines, and human-in-the-loop workflows
• Structured Outputs and JSON Schema Validation
• Deep understanding of Prompt Engineering and Tool Calling
• Practical experience with MCP and FastMCP implementations
• Processing and extraction of unstructured documents
• Experience with parsing and OCR technologies
• Development of robust chunking strategies
• Vector databases, embeddings, and semantic search
• Practical experience with modern RAG architectures and retrieval systems

Project details

• Start: 2027-01
• Duration: 12 Monate
• Remote: hybrid
• Location: Frankfurt, Deutschland, DE
• Languages: German