Decagon Research Engineer Interview Questions
The questions to prepare for a Decagon Research Engineer interview. Questions from real interview reports rank first. Updated daily.
Compare LoRA and full fine-tuning for adapting Llama to Decagon's highly structured task outputs.
DecagonDesign a fine-tuning strategy that improves narrow-domain performance while preserving the LLM's general capabilities.
DecagonDesign Decagon's hybrid keyword and vector retrieval system for high recall, precision, freshness, and reliable online serving.
DecagonDesign Decagon’s ML serving architecture to remain reliable and low-latency during sudden traffic spikes.
DecagonDesign a reliable pipeline to curate, filter, validate, and version specialized Decagon customer support data for instruction tuning.
DecagonDesign a production evaluation framework for measuring and reducing retrieval latency overhead at Decagon.
DecagonTests your ability to improve retrieval quality through document preprocessing choices.
DecagonDiagnose degraded model outputs without exceptions by tracing data quality, feature freshness, distribution drift, and evaluation gaps.
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