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
GenAI applications, RAG architectures, autonomous AI agents, and MCP servers/apps
Domain
Enterprise AI, Generative AI, Cloud (Azure)
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, CI/CD, Clean Code
Preferred skills
MCP Server/App development, Multi-Agent Orchestration (LangGraph, AutoGen, CrewAI), LLMOps, Prompt Engineering, Embedding optimization
Technologies
Azure, LangChain, LlamaIndex, AutoGen, LangGraph, CrewAI, Pinecone, Qdrant, Azure AI Search
Responsibilities
Develop and implement advanced 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.
Seniority
Senior, hands-on IC
