Semantic Engineer

Job title: Semantic Engineer / Knowledge Graph Engineer

Engagement type: B2B, Freelance

Location: Remote (EU)

Duration: Long term

Start date: ASAP

Seeking a Semantic Engineer / Knowledge Graph Engineer to join global pharma organisation. The team building the semantic foundation behind enterprise-scale AI, intelligent agents and knowledge-driven applications.

This is a hands-on engineering role focused on building and operating an Enterprise Semantic Layer, connecting knowledge from different enterprise systems and making it accessible, searchable and usable by AI agents and applications.

Responsibilities

• Design, develop and evolve enterprise Semantic Layer and Knowledge Graph capabilities.
• Transform data from diverse enterprise sources into unified semantic representations using RDF, OWL, SPARQL, SHACL and semantic models.
• Build semantic services, APIs and retrieval pipelines that enable AI systems to discover, retrieve and reason over enterprise knowledge.
• Develop Knowledge Graph and GraphRAG/RAG solutions combining structured knowledge, semantic search, embeddings and retrieval technologies.
• Integrate enterprise knowledge sources with platforms such as Neo4j, Snowflake, Databricks, OpenSearch, vector databases and AI platforms.
• Develop MCP servers and reusable agent-facing tools, including typed tool definitions and YAML/JSON specifications.
• Integrate semantic capabilities with Agentic AI and enterprise AI platforms.
• Build robust, scalable and secure cloud-native services with strong engineering practices around APIs, Git, CI/CD, testing, monitoring and observability.
• Work closely with data engineers, AI engineers, architects and business stakeholders to turn enterprise knowledge into usable AI capabilities.

Requirements

• 5+ years' experience in software engineering, data platforms, AI engineering or a related technical field.
• Strong hands-on Python backend development experience.
• Practical experience with RDF, OWL, SPARQL and SHACL.
• Proven experience building or operating Knowledge Graphs and Semantic Layers.
• Experience with Neo4j or other graph database technologies; experience with semantic platforms such as Stardog or metaphactory is advantageous.
• Experience with semantic search, retrieval architectures and/or OpenSearch.
• Hands-on experience with MCP, agent tooling or Agentic AI.
• Experience with APIs, CI/CD, Git and cloud-native engineering.
• Strong understanding of production software engineering, scalability, security and maintainability.
• Comfortable collaborating across engineering, architecture, data and business teams.

Nice to have

• Snowflake Semantic Models
• OSI-compliant YAML specifications
• GraphRAG
• MCP server development
• LangChain, LangGraph or other agent frameworks
• Event-driven / CDC integration patterns
• Enterprise AI platforms
• Life Sciences / Pharmaceutical environments
• Pharma commercial data or business processes