Senior AI Engineer - Knowledge Graphs

Biorce; Barcelona; Híbrido; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private health coverage

Gym membership

Hybrid work model

Coffee & snacks

Company events

MacBook

Descripción de la vacante

Biorce, a pioneering Healthtech company, seeks a Senior Research/AI Engineer to design knowledge graphs and integrate LLMs to power search, recommendations, and AI/ML applications.

You will build ontology, implement graph databases, develop ETL pipelines, and work with data scientists and product managers in a hybrid Barcelona-based team.

Formación

• 5+ years designing and implementing knowledge graphs in production.
• Expertise in ontology engineering and semantic modeling (RDF/RDFS/OWL).
• Experience with graph databases (Neo4j, TigerGraph, AWS Neptune).
• Experience integrating LLMs with KG using RAG or KG-powered agents.
• Proficient in Python and NLP for text processing and structuring.
• Strong problem-solving and cross-functional collaboration skills.

Responsabilidades

• Design and evolve ontology and semantic models for the knowledge graph.
• Build and optimize graph architecture with graph databases.
• Develop scalable data pipelines and ETL to feed the graph.
• Write complex graph queries (Cypher, SPARQL) and analytics.
• Collaborate with data scientists, ML engineers, PMs to translate needs.
• Tune performance for scalability and real-time queries.

Conocimientos

Knowledge Graphs

Ontology engineering

RDF/RDFS/OWL/SPARQL

Graph databases

LLMs integration

Python

NLP techniques

Graph algorithms

Communication skills

Educación

Master's degree in CS/AI

PhD in CS/AI

Herramientas

Neo4j

TigerGraph

AWS Neptune

Neo4j GDS

NetworkX

Google Cloud Platform

Vertex AI

Descripción del empleo

About the company

Biorce is a pioneering Healthtech company dedicated to revolutionizing drug development through the power of AI. We are passionate about accelerating medical advancements and improving patient outcomes.

Our team comprises seasoned clinical research professionals, data scientists, and AI experts, working collaboratively to bridge the gap between cutting-edge technology and real-world clinical needs.

With an unwavering commitment to revolutionize healthcare, we envision a world where all patients benefit from accelerated and cost-effective access to treatments. Biorce is poised to redefine the landscape of healthcare, shaping a future where innovation and accessibility converge for the betterment of humanity.

About the role

We are seeking a Senior Research/AI Engineer with specific expertise in Knowledge Graphs (KGs) and their synergy with Large Language Models (LLMs). This role is critical for building a structured knowledge foundation that enhances our AI solutions, adding context, reasoning, and explainability to our Generative AI systems.

Key Responsibilities:

• Design and Ontology Engineering: Design and evolve the formal ontology and semantic models (e.g., RDF, OWL) for our knowledge graph, accurately capturing complex domain knowledge and relationships.
• Graph Development & Implementation: Design, build, and optimize the knowledge graph architecture using graph database technologies (e.g., Neo4j, JanusGraph, Amazon Neptune).
• Data Integration & ETL: Develop scalable, robust data pipelines and ETL processes to ingest, transform, and map diverse data sources into the graph structure while ensuring data quality and integrity.
• Querying and Analytics: Write complex, high-performance graph queries (e.g., Cypher, SPARQL) and develop advanced graph analytics and algorithms (e.g., shortest path, community detection) to extract insights.
• Collaboration: Work closely with Data Scientists, ML Engineers, Product Managers, and domain experts to translate business requirements into technical knowledge graph solutions that power search, recommendations, and AI/ML applications.
• Performance Tuning: Monitor, analyze, and optimize the performance of the graph database and associated pipelines for scalability and real-time query speed.

Essential Requirements:

• Minimum of 5+ years of hands-on experience in designing and implementing large-scale Knowledge Graphs in a production environment.
• Deep expertise in ontology engineering, semantic modeling, and experience with standards like RDF, RDFS, OWL, and SPARQL.
• Proficiency with at least one major graph database (e.g., Neo4j, TigerGraph, AWS Neptune).
• Practical experience integrating LLMs with Knowledge Graphs (e.g., RAG, KG-powered AI agents).
• Strong programming skills in languages essential for data engineering, primarily Python.
• Experience applying NLP techniques for text processing and structuring (NER, relation extraction).
• Excellent problem-solving skills and the ability to work collaboratively in a fast-paced, agile environment.
• Familiarity with graph algorithms and libraries (e.g., Neo4j GDS, NetworkX).
• Excellent communication skills and ability to articulate complex AI concepts to diverse audiences.

Desired Skills (A Plus):

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
• Contributions to research (publications in top-tier conferences) or open-source projects.
• Experience with Google Cloud Platform and Vertex AI
• Knowledge of Natural Language Processing (NLP) techniques for information and entity extraction to populate the knowledge graph.
• Familiarity with Graph Machine Learning (e.g., GNNs - Graph Neural Networks).

Why Join Us?

• Work alongside top talent, united by a shared purpose and committed to making a real impact.
• Comprehensive private health coverage to ensure your physical and mental well-being.
• Company-sponsored gym membership to support your fitness goals.
• Hybrid work model offering flexibility to balance your professional and personal life.
• Coffee, tea, beverages, and snacks to keep you fueled throughout the day.
• Company events to celebrate achievements and enjoy time together.
• Get equipped with a MacBook to enhance your productivity and work experience.