Senior AI Engineer
Core
Design and implement the knowledge graph architecture and agentic AI pipelines that enrich entity data through web research and translate natural language compliance questions into structured graph queries.
Role type
Senior AI Engineer (Knowledge Graphs & Agentic Systems)
Builds
Production knowledge graph data models, agentic workflows for entity enrichment, and a conversational graph interrogation layer for compliance analysts.
Domain
RegTech / FinTech / Compliance (Sanctions Screening, KYC/AML)
Deliverable
production ML models | product features
Required skills
Knowledge graph modeling (Neo4j, Cypher), LLM API integration (prompt engineering, tool calling), agentic workflow design, Python (async patterns), RAG architectures, entity resolution/disambiguation, data pipeline engineering (Databricks, APIs), evaluation framework design.
Preferred skills
Graphiti (Zep AI) framework experience, NER pipelines, topic modelling, compliance domain knowledge (third-party risk), GCP platform experience, fine-tuned model deployment.
Technologies
Neo4j, Python, Databricks, Graphiti, Tavily, Perplexity, Anthropic Claude, Gemini, Hugging Face Transformers, Notion.
Responsibilities
Own and evolve the platform's knowledge graph data model and schema standards; implement custom entity/relationship extraction pipelines using LMs; design multi-step agentic workflows orchestrating LLMs and web search; build RAG pipelines translating compliance queries into Cypher; maintain data ingestion pipelines connecting external APIs to Neo4j; develop evaluation frameworks for extraction quality and accuracy.
Seniority
Senior, hands-on IC with technical autonomy and architectural influence.
