Senior GenAI Data Scientist (m/f/d)
Core
Design and build agentic GenAI systems, integrate knowledge into models, and establish evaluation/monitoring frameworks for reliable AI products.
Role type
Senior IC GenAI Data Scientist (Agentic Systems & Harness Engineering)
Builds
Production-ready agentic GenAI systems, agent-ready repositories, and knowledge integration pipelines
Domain
Automotive (AutoScout24) + Generative AI
Deliverable
production ML models
Required skills
Python, RAG architectures, vector search, model fine-tuning, CI/CD workflows, automated testing, MLOps, cloud deployment, prompt engineering
Preferred skills
Knowledge graphs, graph-based retrieval, semantic modelling, ontology-driven representation, harness engineering practices
Technologies
LangChain, AutoGen, Atomic Agents, vector databases, cloud environments
Responsibilities
Design agentic GenAI systems using frameworks like LangChain/AutoGen; create agent-ready repositories and workflows; develop knowledge integration pipelines (RAG, fine-tuning); define evaluation strategies and monitoring setups; integrate AI components into platforms; mentor peers on GenAI and software engineering best practices
Seniority
Senior, hands-on IC