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python llm agentic_workflowsπ Description
- Own design/implementation of AI tutoring components, incl. prompts, agentic workflows, adaptive behaviors.
- Lead end-to-end experiments to ship, measure, and iterate for better outcomes.
- Build production-grade systems integrating LLMs into user-facing experiences.
- Translate product and pedagogical goals into concrete technical solutions with cross-functional teams.
- Rapidly prototype and deploy new model capabilities, bridging research and user impact.
- Strengthen system quality via testing, monitoring, and iteration for safe, scalable behavior.
π― Requirements
- Proven experience shipping LLM-powered products in production.
- Strong Python engineering and scalable production systems.
- Strong prompt engineering and agentic workflows.
- Experimentation: design, run, and interpret experiments.
- Product instincts: connect model behavior to outcomes.
- Ownership and bias for action; ship with cross-functional teams.
π Benefits
- Challenging, rewarding technical challenges daily.
- Competitive compensation and benefits.
- Flexible working hours.
- Annual learning budget for conferences/training.
- Global company retreats.
- Home IT equipment budget yearly.
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