Sr Machine Learning Engineer - Sana
Tasks
- Architect agent planning
- Balance latency quality and cost controls
- Build sandboxed code execution
- Collaborate on reusable agent infrastructure
- Create safe fallbacks and error handling
- Develop tool routing for agents
- Engineer memory and context packing
- Establish safety guarantees and evaluation metrics
- Implement code generation agents
Perks/Benefits
Skills/Tech-stack
Agent Orchestration | Code Execution | Code generation | Context engineering | Error Handling | Evaluation | GCP | Kotlin | Kubernetes | Node.js | Postgres | Prompt engineering | Python | React | Redis | Tailwind | Terraform | Tool Routing | TypeScript
Education
N/A
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