AI Engineer — Applied AI

Savant Bio transforms unstructured medical data into structured, analysis-ready information using large language models and domain-specific quality controls. The AI Engineer will improve the quality and efficiency of the clinical data platform by designing experiments, enhancing LLM interactions and workflows, building evaluation tools, and shipping reliable production capabilities.

Responsibilities:

• Establish software programming paradigms for our platform’s interactions with LLMs in both token-parsimonious and token-hungry scenarios
• Build a test bench for understanding the $/performance frontier of open- and closed-weight language models as relates to our platform’s (often very different) core workloads
• Partner with clinical experts to encode domain knowledge and define meaningful quality standards
• Build evaluation suites that measure accuracy, completeness, consistency, latency, and cost
• Design controlled experiments that isolate the effects of changes throughout the platform
• Improve model interactions through prompting, structured outputs, tool use, context management, and workflow composition
• Build datasets and internal tools for evaluation, regression testing, and rapid iteration