About this opportunity
caseguild lists this Senior Applied AI Engineer opportunity in seattle, Washington. Review the employer’s description below for duties, qualifications and application requirements.
Job description
About CaseGuild
CaseGuild builds the industry’s most advanced evidence reasoning platform for complex litigation, helping legal teams investigate massive document sets and surface critical facts with speed and precision.
We’re a fast growing, early-stage Seattle startup building systems at the intersection of information retrieval, machine learning, and large language models , operating at billions of tokens where accuracy and speed matter. You’ll join a small, senior team that ships production systems daily, measures everything, and iterates based on real-world performance.
The Role
This role is for a startup engineer who is data-first, evaluation-driven, and has built production systems .
You’ve spent years building ML or AI systems where success isn’t measured by demos, but by metrics, benchmarks, and real-world performance . You understand that modern LLM pipelines still require datasets, experiments, baselines, and failure analysis, and you enjoy owning that end-to-end.
You Might Thrive in This Role If You:
Have 5+ years of experience building ML or applied AI systems where accuracy and evaluation mattered
Have designed and owned experiment frameworks and evaluation pipelines in production
Are fluent in metrics (precision, recall, F1) and know when each matters
Have strong foundations in classic ML, NLP, and information retrieval , now applied to LLM-based systems
Have experience working with multiple LLM providers and models , and don’t treat them as black boxes
Enjoy end-to-end ownership and pragmatic tradeoffs in a startup environment
Have a high sense of ownership and agency , with a bias toward getting 1% better every day
Care deeply about correctness, rigor, and repeatability
Compensation
The base pay range for this role is $80,000 – $140,000 per year.
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Worksite address
seattle, WA, 98127, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.