Senior AI Engineer - Sana
Tasks
- Architect multi step planning orchestration and tool routing for agents
- Balance latency quality and cost controls for agent execution
- Collaborate with platform and search teams to deliver reusable agent infrastructure
- Develop safe fallbacks graceful degradation and robust error handling
- Engineer memory state and context packing grounding strategies
- Establish safety guarantees and measurable quality improvements
- Implement code generation agents and sandboxed code execution
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Access Control | Asynchronous Workflows | Cloud platform | Code generation | Context Management | Context engineering | Data Pipelines | Distributed Systems | Drift Detection | Encryption | Evaluation Frameworks | Experimentation | GCP | Google Cloud | Google Cloud Platform | Human-in-the-loop | Kubernetes | LLM APIs | Langfuse | Langsmith | Language Models | Large Language Models | Machine Learning | Maintainability | Memory Management | Model Drift | Model Drift Detection | Model Evaluation | Model Monitoring | Multi-step orchestration | Observability | Postgres | Prompt Caching | Prompt engineering | RAG | Redis | Reliability | Retrieval-Augmented Generation | Sandboxing | Scalability | Service Oriented | Service-Oriented Architecture | System Prompt | System Prompt Caching | The Loop | Tool-Calling | TypeScript | Vector Databases
Education
N/A
Roles
AI Engineer | Engineer | Senior AI Engineer | Software Engineer
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