Agentic AI Data Engineer
Core
Architect and build high-performance data platforms, pipelines, and vector infrastructure to empower autonomous AI agents with access to complex corporate data.
Role type
Senior IC Agentic AI Data Engineer
Builds
Scalable ETL/ELT pipelines, vector databases, semantic layers, and API endpoints for enterprise AI agents
Domain
Enterprise AI / Data Engineering / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Data pipeline development (ETL/ELT), Vector database management, Semantic layer design, Distributed systems, Cloud-native platforms, SQL, Python, Data governance
Preferred skills
Containerization and orchestration, CI/CD for data workflows, Regulated industry experience, Professional cloud certifications
Technologies
Glue, Databricks, Synapse, Dataproc, PostgreSQL, DB2, MongoDB, Airflow, dbt, Kafka, Pinecone, Milvus, Weaviate, AWS, Azure, GCP, Docker, Kubernetes, GitHub, Visual Studio
Responsibilities
Design and optimize scalable ETL/ELT pipelines for batch and real-time processing; Architect RAG pipelines transforming unstructured data into vector embeddings; Manage vector database health and performance; Engineer semantic layers and knowledge graphs; Develop secure high-throughput API endpoints; Implement data quality frameworks and automated testing; Collaborate with architects and data scientists to translate business needs into data infrastructure
Seniority
Senior, hands-on IC