Agentic AI Engineer

DeepRec.ai; Paris; Sur place; EUR 80 000 - 120 000; Plein temps

Avantages offerts par ce poste

Equity

Résumé du poste

DeepRec.ai is seeking a founding engineer to build the knowledge and decision layer for industrial AI applications. You will shape data ingestion, modelling and graph architecture, and drive agent orchestration and evaluation in production systems.

You will apply strong Python and software engineering skills to design scalable, graph-based representations, ontologies and multimodal data interfaces, with equity potential for exceptional contributors.

Qualifications

• Strong Python and software engineering skills.
• Experience with data modelling and graph-based systems or knowledge graphs.
• Production experience with applied AI; familiarity with tool calling and agent workflows.

Responsabilités

• Design the core intelligence layer from data ingestion and modelling to graph architecture.
• Develop agent orchestration, evaluation frameworks, and production reliability.
• Advise on ontology, multimodal data, and integration with tools.

Connaissances

Python

Software engineering

Data modelling

Graph based systems

Knowledge graphs

Tool calling

Agent workflows

Prompt design

Evaluation frameworks

Graph RAG

Outils

Langfuse

Description du poste

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.

Salary is expected to sit around €80,000, with flexibility towards €100,000 or above for exceptional profiles. Equity may also be available.