Prompt Engineering & Pipeline Management:

• Design, iterate, and maintain prompt systems that reliably generate high-quality clinical documentation across a growing number of templates.
• Build scalable prompt architectures that let us add new output formats without fragmentation.

Evaluate & Integrate AI Models:

• Benchmark and select the best LLM solutions for clinical documentation.
• Stay on top of the rapidly evolving model landscape and assess new options.

Build Evaluation Pipelines:

• Design practical evaluation processes across our data pipeline from audio and transcription to LLM-generated output.
• The goal isn't perfection but knowing when output is good enough.

Ensure Clinical Output Quality:

• Work closely with our psychologists and product team to define what "good" looks like, ensuring features meet the real-world expectations of users.

Experiment, Ship, Iterate:

• Design experiments and data labeling strategies, push them to production, measure real-world performance, and use the insights to drive the next iteration.