Applied AI Engineer

What youll do

• Design experiments and build eval datasets that reflect real-world distributions, not cherry-picked queries

• Diagnose regressions and argue for architectural decisions with evidence

• Figure out where reasoning should be deterministic vs. LLM-driven

• Debug why retrieval missed and fix the class of failure, not just the instance

Youre a fit if

• You understand LLM pipelines, retrieval systems, and agent architectures well enough to reason about their failure modes

• You can take a vague concern like "the new version feels worse" and turn it into a measurable question

• You build things for fun and have opinions about AI systems most people get wrong

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