Senior Software Engineer, AI Evals

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Design and build robust evaluation frameworks to measure accuracy, reliability, regressions, and edge cases in AI systems
Create and curate high-quality datasets, golden test cases, and benchmarks grounded in real production data
Build automated test harnesses and metrics pipelines to continuously evaluate models, prompts, and agentic workflows
Partner closely with applied AI engineers and product leaders to define what “good” looks like and translate it into measurable criteria
Own the evaluation lifecycle for major AI initiatives, from early experimentation through production monitoring

Care deeply about correctness, rigor, and measurement in AI systems
Enjoy turning fuzzy product goals and model behavior into concrete tests and metrics
Like building foundational infrastructure that unlocks faster iteration and higher confidence for the entire AI team
Thrive in cross-functional environments and enjoy influencing model design through better evaluation

Minimum 5+ years of professional experience with a Bachelor’s degree in computer science, machine learning, or a related field
Experience building testing, evaluation, or data infrastructure for complex systems (AI/ML experience strongly preferred)
Comfort writing production-quality code (we use Python and TypeScript)
Experience working with structured and unstructured datasets, labeling workflows, or data quality pipelines
Familiarity with modern ML systems and evaluation techniques (e.g., offline metrics, online evaluation, regression testing for models or prompts)
Bonus: experience evaluating LLMs, agentic systems, or AI-assisted developer tools

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