Staff AI Engineer
Tasks
- Architect and develop multi agent systems using LLMs
- Build scalable secure compliant AI agent workflows
- Create reusable agent orchestration layers and observability hooks
- Design and implement RAG pipelines
- Implement distributed training workflows and online inference
- Implement observability and automation for AI reliability and performance
- Optimize agents for orchestration and decision making
- Own AI development lifecycle from data collection to deployment and monitoring
- Translate business requirements into technical specifications
Perks/Benefits
Skills/Tech-stack
Agent Orchestration | Autogen | BigQuery | Cloud Run | Compliance | CrewAI | Dataflow | Distributed Training | Governance | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | Low Latency | Low-latency serving | MCP | MLOps | Model Context Protocol | Observability | Online Inference | PubSub | Python | Retrieval-Augmented Generation | Security | Transformers | Vertex AI
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Staff AI Engineer
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