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python prompt engineering experimentation llm production systems📋 Description
- Own design/implementation of AI tutoring components (prompts, workflows, adaptive behavior).
- Lead end-to-end experiments to improve learning outcomes and model performance.
- Build production-grade systems integrating LLMs into user experiences with reliability and scale.
- Translate pedagogical goals into concrete technical solutions with product and design.
- Prototype and deploy new model capabilities bridging research to real user impact.
- Strengthen quality via testing, monitoring, and iteration for safe, scalable behavior.
- Maintain high code quality and contribute to design/code reviews.
🎯 Requirements
- Proven experience building and shipping LLM-powered products in production.
- Strong prompt engineering skills and agentic workflows.
- Experience designing, running, and interpreting experiments.
- Strong Python software engineering fundamentals for scalable systems.
- Product instincts and pedagogy focus for user outcomes.
- High ownership, clear communication, and cross-functional collaboration.
🎁 Benefits
- Exciting technical challenges daily.
- Competitive salary and benefits.
- Flexible working hours.
- Annual learning budget for conferences and training.
- Global company retreats.
- Home office equipment budget.
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