Prompt Engineer, Multi-Agent Systems
Tasks
- Build evaluation layer
- Create datasets from production
- Debug context related prompt issues
- Debug production agent failures
- Define agent contracts and handoffs
- Define scoring rubrics
- Design agent prompts
- Design dynamic context assembly
- Fix issues and add eval cases
- Implement tracing and prompt versioning
- Instrument observability systems
- Maintain prompt behavior across model changes
- Partner with product engineering sales support
- Run regression tests
- Select models for tasks
- Write evaluator prompts
Perks/Benefits
- Equity options
- Flexible hours
- Fully remote
- Health insurance
- Paid Holidays
- Paid time off
- Professional development
- Supportive team culture
- Vision insurance
Skills/Tech-stack
Agent systems | Data sets | Experimentation | Function Calling | LLM Evaluation | Language Models | Large Language Models | Latency optimization | Machine Learning | Multi-Agent | Multi-Agent Systems | Observability | Orchestration | Prompt engineering | Prompt versioning | Real Time | Real-time Systems | Regression testing | Structured Output | Time Systems | Tool-Calling | Tracing | Voice Agents
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Prompt Engineer
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