Paris, onsite five days per week
- We are supporting an early stage AI company building a knowledge and decision layer for factories.
- The platform ingests documents, logs, images, and video, then converts this information into an internal ontology and graph that AI agents can use to reason, call tools, and support operational workflows
- You will help design the core intelligence layer, from data ingestion and modelling through to graph architecture, agent orchestration, evaluation, and production reliability.
- This is not a basic RAG role. You will need to understand how information is structured, how relationships are represented, and how agents navigate complex systems.
- You should bring strong Python and software engineering skills, experience with data modelling, graph based systems or knowledge graphs, and production experience with applied AI. You should also understand tool calling, agent workflows, prompt design, and evaluation frameworks
- Experience with Graph RAG, Langfuse, ontologies, multimodal data, manufacturing, robotics, or industrial software would be useful.
- Founding engineer or technical founder experience is also valued.
Equity may also be available.
If your open to this position, feel free to apply to this JD with your updated resume and we'll be in touch to discuss further if there is alignment.
