Senior AI Engineer
Tasks
- Architect AI agent systems and orchestration layers
- Build and maintain MCP servers
- Build and maintain data pipelines
- Design build and operate AI systems in production
- Design retrieval-augmented generation pipelines
- Design reusable AI primitives and frameworks
- Fine tune evaluate and monitor models
- Identify mitigate AI behavior and data quality risks
- Integrate AI into CI/CD pipelines
- Partner with engineering teams for reliability and security
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AWS Redshift | Agent Orchestration | Azure | CI/CD | Caching | Data Modeling | Data Pipelines | Data Quality | Data Transformation | Databricks | Embeddings | Fine Tuning | Graph Databases | Hybrid search | Inference Optimization | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Multi-step reasoning | Observability | Python | Reliability | Retrieval-Augmented Generation | Snowflake | Synapse Analytics | Tool use | Vector Databases
Education
N/A
Roles
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