Doktorand Graph Intelligence & Agentic Graph RAG als Analyst / Consultant (w|m|d) | findic
Core
Develop and research graph-based AI approaches, specifically Agentic Graph RAG and agentic systems, for complex knowledge and decision-making processes in regulated industries.
Role type
Research Analyst / Consultant (PhD Candidate)
Builds
Robust, production-ready Data & AI solutions for banks, insurance companies, and other regulated sectors.
Domain
Artificial Intelligence, Knowledge Graphs, Graph Databases, Retrieval-Augmented Generation (RAG)
Deliverable
production ML models
Required skills
RAG architecture design, agentic workflow development, knowledge graph construction, LLM evaluation, hybrid retrieval strategies, graph traversal, subgraph retrieval, vector retrieval, prompt engineering, system reliability analysis
Preferred skills
Neo4j, agent orchestration, multi-step tool use, access control, audit trails, prompt injection defense, Docker, automated testing, LLM application monitoring
Technologies
LangGraph, LlamaIndex, Knowledge Graphs, Graph Databases, LLMs, Docker
Responsibilities
Design Graph-RAG architectures integrating structured data and unstructured documents; Develop agentic workflows for information search and decision support; Research reliability and explainability of AI systems in regulated environments; Translate research into practical solutions for financial services.
Seniority
Junior/Mid-level (PhD Candidate)
