Senior Data AI Engineer
Core
Design, build, and maintain Knowledge Base and RAG solution stacks; develop robust, scalable batch and streaming data pipelines for large-scale structured and unstructured data.
Role type
Senior Data AI Engineer
Builds
Knowledge Base and RAG solution stacks, batch and streaming data pipelines
Domain
Enterprise data engineering and AI infrastructure
Deliverable
production ML models
Required skills
PySpark, Databricks, Delta Lake, Python, SQL, Apache Kafka, Vector Databases, Embeddings, RAG/LLM integration frameworks, GitHub CI/CD, observability tools
Technologies
Databricks, Apache Spark, PySpark, Delta Lake, Python, SQL, Apache Kafka, ChromaDB, Pinecone, OpenSearch, LangChain, GitHub, DataDog, Dynatrace
Responsibilities
Design and maintain Knowledge Base and RAG solution stacks; Develop batch and streaming data pipelines; Drive production readiness, CI/CD automation, and incident response; Ensure compliance with enterprise data security and regulatory standards; Partner with AI engineers and data scientists to convert requirements into production-ready architectures
Seniority
Senior, hands-on IC
