Hera
Созвон после собеседования20 мая 2026
Hera Motion AI техническое собеседование Follow-up: agent evaluation цикл собеседований
техническое собеседование follow-up with Hera cofounder: candidate LLM/RAG and inference background, self-hosting vs API-model strategy, agent evaluation, closed-цикл собеседований experimentation and the architecture/evaluation bottlenecks of a motion-design AI product.
8 вопросов1 кейс26 минДоступна аудиозапись
Аудио и материалы
Аудио скрининга
0:00 / 26:22
Выводы и как готовиться
- The strongest technical theme is evaluation-driven improvement of an LLM agent: benchmarks are useful only if they map to product quality and can drive controlled experiments.
- API-model products still have hard engineering work: orchestration, evaluation, prompt/policy версирование, latency, reliability and integration with product constraints.
- For agentic motion design, architecture choice must balance quality, consistency, latency and the cost of human expert feedback.