Senior Data & GenAI Engineer (Finance Domain)

Our client is seeking a highly skilled Senior Data & Generative AI Engineer with deep expertise in Knowledge Graphs, Graph Databases, Vector Databases, Neo4j, RAG architectures, and enterprise AI data infrastructure.

This role is ideal for a hands-on technologist who can architect, build, and optimize scalable data systems that enable fine-tuning and deployment of Large Language Models (LLMs) for low-latency, enterprise-grade inference. The engineer will play a critical role in designing AI-ready data foundations to power advanced financial domain use cases.

Required Expertise

The ideal candidate will have demonstrated experience building:

• Large-scale ontologies from enterprise data (including entity resolution and probabilistic pattern matching).
• Agentic knowledge-base enrichment systems, including automated data gap detection and enrichment workflows.
• Anomaly detection frameworks operating at scale on knowledge graph data.
• End-to-end fine-tuning pipelines for small language models and reasoning models, including:
• Dataset generation
• Model tuning
• Evaluation and benchmarking
• Deployment and monitoring
• Advanced AI/ML models leveraging unstructured data (documents, financial reports, communications, etc.).