Semantic Data and AI Engineer
Core
Designing and deploying data discovery, integration, and governance solutions to transform knowledge assets into AI-ready assets for enterprise clients.
Role type
Senior IC Semantic Data and AI Engineer
Builds
Orchestrated data solutions, RAG workflows, and agentic AI solutions for enterprise AI transformations
Domain
Enterprise AI, Knowledge Graphs, Data Governance
Deliverable
production ML models | product features
Required skills
NLP (entity extraction, classification, document processing), RAG pipeline design, embedding strategies, Python/R programming, data modeling, SQL, client consulting
Preferred skills
Graph databases (SPARQL), AI governance, containerization (Docker/Kubernetes), cloud platforms (AWS/Azure/GCP), ontology/taxonomy design, agentic AI frameworks (LangChain/LlamaIndex)
Technologies
Python, R, SQL, Docker, Kubernetes, AWS, Azure, GCP, LangChain, LlamaIndex, LangGraph
Responsibilities
Model domain knowledge with SMEs, apply NLP to transform data, design RAG workflows, implement agentic AI solutions, support BI projects, analyze datasets, build data pipelines, contribute to knowledge graphs
Seniority
Senior, hands-on IC
