Senior AI Engineer
Tasks
- Architect AI agent systems and orchestration layers
- Build and maintain MCP servers
- Build and maintain data pipelines
- Define reliability observability cost management for models
- Design build and operate AI systems in production
- Fine tune evaluate and monitor models
- Implement retrieval-augmented generation pipelines
- Implement secure and observable AI integrations
- Integrate AI capabilities into CI CD pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Artificial Intelligence | CI/CD | Caching | Cost Optimization | Data Engineering | Data Modeling | Data Pipelines | Data Quality | Data Versioning | Deployments | Embeddings | Failure handling | Fine Tuning | Graph Databases | Hybrid retrieval | MCP servers | Machine Learning | Model Evaluation | Model Fine-tuning | Model Monitoring | Multi-step reasoning | Observability | Reliability | Retrieval-Augmented Generation | Secure integrations | Testing | Tool use | Vector Search
Education
N/A
Roles
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