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python prompt engineering experimentation llm production systems📋 Description
- Own design/implementation of AI tutoring system components (prompts, workflows).
- Run end-to-end experiments to ship, measure, and iterate for learning outcomes.
- Build production-grade systems integrating LLMs into user experiences reliably.
- Translate pedagogical goals into concrete technical solutions with product, content, and design teams.
- Prototype and deploy new model capabilities, bridging research to users.
- Strengthen quality via testing, monitoring, and iteration for safe, scalable behavior.
🎯 Requirements
- Proven experience shipping LLM-powered products in production.
- Strong prompt engineering and agentic workflows.
- Solid grasp of experimentation—designing, running, and interpreting tests to improve.
- Python-based software engineering with scalable, production-grade systems.
🎁 Benefits
- Exciting challenges: tackle new tech daily.
- Competitive compensation with attractive benefits.
- Flexible working hours and remote-friendly policies.
- Yearly learning budget for conferences and training.
- International company retreats fostering global spirit.
- Yearly IT equipment budget for home setups.
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