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python prompt engineering experimentation llm production-grade systems📋 Description
- Own the design and implementation of key components of the AI tutoring system, including prompt architectures, agentic workflows, and adaptive behaviors.
- Drive experiments end-to-end—shipping, measuring, and iterating to improve learning outcomes and model performance.
- Build production-grade systems that integrate LLM capabilities into user-facing experiences with reliability, speed, and scalability.
- Translate product and pedagogical goals into concrete technical solutions, working closely with product, content, and design.
- Rapidly prototype and deploy new model capabilities, bridging the gap between research breakthroughs and real user impact.
- Strengthen system quality through robust testing, monitoring, and iteration—ensuring safe and consistent behavior at scale.
🎯 Requirements
- Proven experience building and shipping LLM-powered products in production environments.
- Strong prompt engineering skills and hands-on experience with agentic workflows or multi-step model interactions.
- Solid grasp of experimentation—comfortable designing, running, and interpreting experiments to drive improvements.
- Strong software engineering fundamentals (Python), with experience building scalable systems and working in modern production environments.
🎁 Benefits
- Exciting technical challenges
- Competitive salary and benefits
- Flexible working hours
- Annual learning budget
- Global company retreats
- IT equipment budget
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