Principal Machine Learning Engineer, Agentic AI
Tasks
- Bridge applied research and engineering
- Build evaluation frameworks
- Convert research findings into actionable insights
- Create tracing systems
- Design agent interaction modes
- Develop multimodal agentic experiences
- Implement safety guardrails
- Lead multi-team initiatives
Perks/Benefits
Skills/Tech-stack
Agent systems | Agents SDK | Autogen | Computer Vision | Context Aware Tool Selection | Dialogue Systems | Evaluation Frameworks | Fault Tolerance | High Availability | Langgraph | Language Models | Language Processing | Large Language Models | Low Latency | Machine Learning | Multi-Agent | Multi-Agent Systems | Multimodal | Natural Language | Natural Language Processing | Production Machine Learning | Safety Guardrails | Tool selection | Tracing
Education
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