Senior AI Engineer
Berlin, Berlin, Germany
EUR 75K-85K (estimate) Senior-level Full Time
Tasks
- Build Python data ingestion pipelines
- Build RAG pipelines over knowledge graph
- Build agentic AI workflows with tool use
- Build entity and relationship extraction pipelines
- Build topic modelling pipelines
- Connect to external APIs for sanctions and registries
- Design evaluation frameworks for extraction quality
- Design knowledge graph architecture
- Implement NER and entity disambiguation
- Implement graph interrogation conversational interface
- Implement knowledge graph data model
- Implement structured output validation and confidence scoring
- Ingest data from Databricks
- Integrate AI web search for entity enrichment
- Integrate LLM APIs with prompt engineering
- Integrate with .NET backend via HTTP contracts
- Lead AI research evaluation and prototypes
- Maintain technical documentation
- Manage graph schema standards
- Optimize LLM cost and latency
- Own AI and data layer
- Translate compliance queries into Cypher
- Write graph updates to Neo4j
Perks/Benefits
- N/A
Skills/Tech-stack
Anthropic Claude | Async Programming | Cost Optimization | Cypher | Databricks | Delta Lake | Entity Disambiguation | Entity Extraction | Entity Resolution | Entity recognition | Evaluation Frameworks | Function Calling | Gemini | Graph Databases | HTTP | Hybrid retrieval | Knowledge graphs | LLM APIs | Latency optimization | Named Entity Recognition | Neo4j | OpenAI | Prompt engineering | Python | RAG | REST APIs | Retrieval-Augmented Generation | Search integration | Structured outputs | Tool use | Topic Modeling | Vector Search | Web Search | Web Search Integration
Education
N/A
Roles
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