Senior AI Engineer: Knowledge Graphs & LLM Systems

Avenga; España; Presencial; EUR 85.000 - 110.000; Jornada completa

Descripción de la vacante

Avenga is seeking a Senior AI Engineer to transform unstructured engineering docs into structured Knowledge Graphs and simulation-ready models. You will work with LLMs, KG tech, and computer vision to automate model generation and enable real-time data integration.

The role emphasizes building backend services (FastAPI), data pipelines, and demo interfaces while ensuring scalability and collaboration with cross-functional teams in a global setting.

Formación

• Strong experience with Python and AI/ML frameworks.
• Hands-on experience with LLMs, LangChain, HuggingFace.
• Knowledge Graphs and Graph Databases like Neo4j.

Responsabilidades

• Convert system descriptions (P&IDs, specs) into structured knowledge graphs.
• Enhance KG generation with real-time data and new sources.
• Build KG-to-Model mapping to generate initial 1D simulation models (e.g., Amesim).
• Design pipelines using LLMs, VLMs, and ML/DL models for document understanding.
• Develop backend services and APIs using Python (FastAPI).
• Create demo/admin interfaces with Streamlit or React.
• Ensure scalability, observability, and performance; collaborate with engineers and domain experts.

Conocimientos

Python

LLMs

LangChain

HuggingFace

Knowledge Graphs

Graph Databases

Vector Databases

Machine Learning

Computer Vision

FastAPI

Docker

GitHub

CI/CD

GCP

PostgreSQL

Redis

Herramientas

Docker

GitHub

CI/CD pipelines

FastAPI

Streamlit

React

Descripción del empleo

Avenga is seeking a Senior AI Engineer to transform unstructured engineering docs into structured Knowledge Graphs and simulation-ready models. You will work with LLMs, KG tech, and computer vision to automate model generation and enable real-time data integration.

The role emphasizes building backend services (FastAPI), data pipelines, and demo interfaces while ensuring scalability and collaboration with cross-functional teams in a global setting.