At
Hays
, we are collaborating with a
leading integral pharmaceutical company
operating in
more than 130 countries
focused on improving the
health and quality of life
of both people and animals through
innovation, research, and technology
.
We are looking for an
AI Engineer
whose primary mission will be to design and implement
semantic AI solutions, knowledge graphs, and agentic AI architectures
that support enterprise-scale AI adoption.
Responsibilities
• Design, implement, and evolve an
Enterprise Semantic Layer
to make enterprise knowledge accessible to AI systems and applications.
• Create unified semantic representations using
knowledge graphs, ontologies, metadata, and business context
.
• Design scalable architectures that enable interoperability across different data domains.
• Ensure
security, governance, scalability, observability, and maintainability
of semantic platform components.
• Design and implement
knowledge graph architectures
using
RDF, OWL, SHACL, and SKOS
.
• Develop retrieval solutions leveraging
semantic search, embeddings, NLP, metadata,
and knowledge graphs
.
• Integrate semantic technologies with platforms such as
Snowflake, Databricks, Neo4j, vector databases, search engines, and AI platforms
.
• Design and implement
MCP servers, semantic tools, and reusable agent-facing services
.
• Define testing, evaluation, monitoring, and governance approaches for
semantic and agentic AI systems
.
Requirements
• Hands-on experience with
Natural Language Processing (NLP)
technologies such as
spaCy
.
• Experience implementing and operating
knowledge graph
or
semantic layer
solutions.
• Strong understanding of
software engineering best practices
, Git workflows, CI/CD, testing, and cloud-native architectures.
• Ability to collaborate effectively with
data engineers, architects, AI engineers, and business stakeholders
.
• Strong communication and problem-solving skills.
Valorable
•
3+ years of experience
in software engineering, backend
📌 Freelance AI Engineer (España)
🏢 Hays
📍 España