Sr. Software Dev Engineer, Leo AI Foundations
Tasks
- Architect scalable data lakehouse
- Build analytics layers
- Build retrieval systems
- Build telemetry analysis systems
- Create automation workflows
- Design data ingestion pipelines
- Design distributed systems
- Design evaluation frameworks
- Design hybrid search strategies
- Develop federated query capabilities
- Develop intelligent agent systems
- Develop natural language interfaces
- Develop testing pipelines
- Develop vector database infrastructure
- Ensure data compliance
- Establish metrics and monitoring
- Establish metrics repositories
- Implement AI-powered operational tools
- Implement data quality frameworks
- Implement feedback loops
- Lead semantic data modeling
- Manage metadata and data classification
- Orchestrate metrics workflows
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Automated testing | Data Ingestion | Data Lakehouse | Data Modeling | Data Quality | Distributed Systems | Docker | Java | JavaScript | Knowledge bases | Kubernetes | Language Processing | Machine Learning | Metadata Management | Monitoring | Natural Language | Natural Language Processing | NoSQL | OLAP | PyTorch | Python | Reinforcement Learning | S3 | SQL | Semantic Search | Telemetry Analysis | TensorFlow | Vector Databases
Education
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