Research Engineer

Design experiments, build evaluation infrastructure, and drive model quality for enterprise intelligence.

• •We're looking for a Research Engineer to design experiments, build evaluation infrastructure, and drive model quality for our process conformance, productivity measurement, and AI impact analysis across Fortune 500 organisations.
• •Key Responsibilities Designing evaluation pipelines that measure accuracy, precision, and recall across classification tasks Building ground truth datasets from ambiguous, real-world enterprise data Running systematic prompt engineering experiments to optimize LLM performance Developing A/B testing infrastructure for model comparison Researching novel approaches to process understanding, activity classification, and intent extraction Requirements Strong Python fundamentals and software engineering discipline LLM prompt engineering and optimization (token efficiency, few-shot design, chain-of-thought) Experience evaluating model performance: accuracy measurement, error analysis, regression detection Ability to read, synthesize, and apply ML research papers Statistical literacy: understanding when results are meaningful vs noise Comfort with ambiguity and novel problem domains