Data Scientist (m/w/d), Frankfurt
Core
Designing and implementing advanced GenAI applications, RAG pipelines, and autonomous AI agents for enterprise systems.
Role type
Senior GenAI Engineer (Data Scientist)
Builds
Autonomous AI agents, RAG architectures, and MCP servers/apps for enterprise clients.
Domain
Enterprise AI / Generative AI
Deliverable
production ML models
Required skills
Python, Kotlin, GenAI frameworks (LangChain, LlamaIndex, AutoGen), Vektordatenbanken (Pinecone, Qdrant, Azure AI Search), Data Engineering for unstructured text, Cloud deployment (Azure), API orchestration, LLMOps
Preferred skills
GraphRAG, LightRAG, Filter-RAG, Multi-Agent Orchestration (LangGraph, CrewAI), MCP Server/App development, Chunking strategies, Embedding optimization
Technologies
Azure, LangChain, LlamaIndex, AutoGen, LangGraph, CrewAI, Pinecone, Qdrant, Azure AI Search
Responsibilities
Develop and implement GenAI applications and autonomous AI agents; Prepare and structure complex unstructured enterprise data; Conceive robust AI architectures and integrate solutions into enterprise systems; Develop MCP servers and clients; Optimize AI pipelines and live application performance; Present architecture concepts to clients.
Seniority
Senior, hands-on IC