AIML Engineer with GraphDB/Knowledge Graph Experience

Job Title: AIML Engineer with GraphDB/Knowledge Graph Experience Location: Las Colinas, TX (Hybrid 3 days onsite a week ) Duration: Long Term Contract Job Description: Client is looking for candidates who have experience in building: • Ontology from large scale data (requires experience in entity resolution, probabilistic pattern matching) • Agentic knowledge-base enrichment (automated data gap identification, and data enrichment) • Anomaly detection on top of knowledge graph data at scale • Fine tuning pipeline (including dataset generation, tuning, evaluation, deployment) for small language models and reasoning models • Good depth in building models on top of unstructured data About the Role: clients is seeking a Sr Data and Gen AI Engineer with strong expertise in knowledge graph, Graph DB, Vector DB, Neo4j, RAG, and similar technologies. This engineer will design and implement data infrastructure that enables efficient fine-tuning and deployment of large language models (LLMs) on client servers for low-latency inference. The role demands a hands-on technologist who can architect, build, and optimize data systems serving enterprise-grade AI use cases. Key Responsibilities: • Design and implement GraphDB and VectorDB solutions to store, query, and retrieve structured and unstructured financial data. • Build knowledge graph pipelines integrating multiple data sources to support LLM fine-tuning and retrieval-augmented generation workflows. • Set up scalable data pipelines for model training, embedding generation, and data preprocessing • Collaborate with AI researchers and ML engineers to prepare data and infrastructure for fine-tuning open-source or proprietary LLMs. • Deploy and optimize model hosting for fast inference on on-prem or cloud GPU servers. • Ensure data governance, lineage and compliance with internal and regulatory standards. Thanks & Regards, Vignesh vignesh@themesoft.com