Senior AI Engineer
EUR 75K-85K (estimate) Senior-level Full Time
Tasks
- Build Python data ingestion pipelines
- Build RAG pipelines for compliance queries
- Build agentic pipelines for entity enrichment
- Build entity extraction pipelines
- Design knowledge graph architecture
- Develop graph evaluation frameworks
- Develop topic modelling pipelines
- Implement NER and entity disambiguation
- Implement graph interrogation conversational interface
- Implement knowledge graph data model
- Integrate AI web search into workflows
- Integrate external compliance data sources
- Integrate with .NET backend via HTTP contracts
- Integrate with Neo4j using Cypher
- Manage LLM API integrations
- Optimize cost and latency for LLM usage
- Perform prompt engineering and structured outputs
- Translate compliance questions into graph queries
- Write technical documentation and runbooks
Perks/Benefits
- N/A
Skills/Tech-stack
Asynchronous programming | Cypher | Data Modeling | Databricks | Delta Lake | Entity Disambiguation | Entity recognition | Evaluation harnesses | Function Calling | Graph Data | Graph Data Modeling | Graph Databases | Hybrid retrieval | Information Extraction | Knowledge Graph Evaluation | Knowledge graph | Knowledge graphs | LLM APIs | Language Processing | Named Entity Recognition | Natural Language | Natural Language Processing | Neo4j | Performance Tuning | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Schema Design | Search APIs | Structured Output | Tool-Calling | Topic Modeling | Vector Search | Web Search | Web Search APIs
Education
N/A
Roles
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