Gen AI Data Engineer
United States - Remote
R
USD 130K-220K (estimate) Senior-level Full Time
Tasks
- Architect RAG solutions
- Build distributed data systems
- Build graph data solutions and knowledge retrieval systems
- Curate collect and preprocess data sources
- Deploy data ingestion indexing retrieval pipelines
- Design large-scale data warehouses
- Develop batch and realtime data pipelines
- Experiment evaluate and iterate RAG workflows
- Implement data infrastructure ETL pipelines
- Integrate databases APIs and knowledge graphs into RAG
- Monitor optimize and secure data platform performance
Perks/Benefits
Skills/Tech-stack
AWS Batch | AWS Lambda | AWS RDS | AWS S3 | Amazon SageMaker | Apache Airflow | Apache Spark | Autosys | CI/CD | CloudFormation | Cronjobs | Docker | Elasticsearch | Faiss | GitHub | GitHub Actions | Google BigQuery | Google GKE | Google Vertex | Google Vertex AI | Hadoop | Information Retrieval | Jenkins | Knowledge graphs | Kubernetes | Linux | Machine Learning | Milvus | MongoDB | Neo4j | NoSQL | Open Cypher | OpenSearch | Pinecone | PySpark | Python | RAG | SQL | Snowflake | Streamlit | Terraform | VS Code | Vector Databases | Vector Search | Vertex AI
Education
N/A
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