Data AI Engineer All Levels

We are building a new AI team from the ground up for our client. This is a greenfield opportunity to build an AI-native data platform powered by and modern semantic workflows. You will be part of the founding team defining architecture not just maintaining it.

Responsibilities:

• Design and build scalable data pipelines and semantic layer using / Cube Cloud
• Build LLM-powered applications on top of the semantic layer - RAG AI agents intelligent analytics
• Develop and optimize data models metrics layer and headless BI APIs
• Integrate vector databases LLMs and knowledge graphs for semantic search and reasoning
• Collaborate with AI Scientists and Product to take models from prototype to production
• Own performance governance and security of the semantic layer

Required Skills:

• Experience in Data Engineering / AI Engineering with Python and SQL
• Hands-on experience with or similar semantic layer - dbt Semantic Layer LookML AtScale
• Strong experience with LLMs RAG LangChain / LlamaIndex Vector DBs
• Experience with data warehouses - Snowflake / BigQuery / Redshift
• Experience with ETL/ELT API development and data modeling

Nice to Have:

• Experience with Knowledge Graphs GraphQL
• Experience with LLMOps Docker Kubernetes
• Experience with GenAI evaluation and fine-tuning