Principal AI Platform Engineer
San Francisco, California
R
USD 167K-220K (estimate) Senior-level Full Time
Tasks
- Align cross division engineering teams on platform strategy
- Build agent orchestration and tool registry
- Create reproducible developer environments
- Define agent skill tool architecture
- Design offline and online evaluation systems
- Develop observability for agent trust and reliability
- Drive platform adoption across engineering leaders
- Improve agent performance with user feedback loop
- Scale context graph retrieval and knowledge systems
- Write design documents and facilitate technical decisions
Perks/Benefits
Skills/Tech-stack
Agent Orchestration | Backend Development | Braintrust | Cost Optimization | Data Pipelines | Distributed Systems | Embeddings | Knowledge Retrieval | Knowledge graphs | Langfuse | Langgraph | Langsmith | Language Models | Large Language Models | Latency optimization | Llamaindex | MCP | Machine Learning | Model Evaluation | Multi-Agent | Multi-agent orchestration | Observability | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | Schema Design | Service Design | Software Architecture | System Reliability | Vector Databases
Education
N/A
Regions
Countries
States
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