Staff AI Engineer
Tasks
- Architect multi agent systems using LLMs
- Build distributed training and low latency inference systems
- Create reusable orchestration layers and observability hooks
- Design RAG pipelines for knowledge grounding
- Engineer secure compliant production AI workflows
- Implement observability and automation for AI reliability
- Optimize agents for orchestration and decision making
- Own AI development lifecycle from data to monitoring
- Translate business requirements into technical specifications
Perks/Benefits
Skills/Tech-stack
BigQuery | Cloud Run | Dataflow | Distributed Training | Google Cloud | Governance | Kubernetes | LLM orchestration | Low Latency | Low-latency serving | MCP | MLOps | Model Context Protocol | Model Monitoring | Online Inference | PubSub | Python | RAG | Transformers | Vertex AI
Education
Roles
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