Senior AI Engineer (m/w/d)
Core
Design, development, and operation of production-ready multi-agent systems, autonomous workflows, and RAG architectures with knowledge graphs.
Role type
Senior IC AI Engineer (GenAI & Multi-Agent Systems)
Builds
Agentic ecosystems, document processing pipelines, and integrated LLM applications for enterprise clients.
Domain
Artificial Intelligence, GenAI, Knowledge Graphs, Data Engineering
Deliverable
production ML models
Required skills
Python, Agent Engineering (LangGraph, AutoGen, CrewAI), LLM Fine-tuning (SFT, RLHF), Document Processing, Data Engineering (ETL, Pipelines), Production-ML (Deployment, Monitoring), Prompt Engineering, MCP standards
Preferred skills
Knowledge Graphs, Semantic Web, Graph-ML, Cloud AI platforms (AWS Bedrock), MLOps (MLflow, Docker, Kubernetes), Domain expertise in Tax, Law, or Finance
Responsibilities
Develop and operate production-ready multi-agent systems and autonomous workflows; Conceive RAG architectures with knowledge graphs and hybrid retrieval strategies; Build document-processing pipelines for information extraction; Fine-tune and optimize LLMs and multimodal models; Design agent stacks with modern standards like MCP and Prompt Engineering; Integrate LLM applications into existing systems; Evaluate, monitor, and optimize performance of production AI systems
Seniority
Senior, hands-on IC
